This Blog has Moved to NovaSpivack.com

Republished from March 11: Twine CEO Comments about Evri Acquisition

Please see this article -- my comments on the Evri/Twine deal, as CEO of Twine. This provides more details about the history of Twine and what led to the acquisition.

What's After the Real Time Web?

In typical Web-industry style we're all focused minutely on the leading trend-of-the-year, the real-time Web. But in this obsession we have become a bit myopic. The real-time Web, or what some of us call "The Stream," is not an end in itself, it's a means to an end. So what will it enable, where is it headed, and what's it going to look like when we look back at this trend in 10 or 20 years?

In the next 10 years, The Stream is going to go through two big phases, focused on two problems, as it evolves:

1. Web Attention Deficit Disorder. The first problem with the real-time Web that is becoming increasingly evident is that it has a bad case of ADD. There is so much information streaming in from so many places at once that it's simply impossible to focus on anything for very long, and a lot of important things are missed in the chaos. The first generation of tools for the Stream are going to need to address this problem.
2. Web Intention Deficit Disorder. The second problem with the real-time Web will emerge after we have made some real headway in solving Web attention deficit disorder. This second problem is about how to get large numbers of people to focus their intention not just their attention. It's not just difficult to get people to notice something, it's even more difficult to get them to do something. Attending to something is simply noticing it. Intending to do something is actually taking action, expending some energy or effort to do something. Intending is a lot more expensive, cognitively speaking, than merely attending. The power of collective intention is literally what changes the world, but we don't have the tools to direct it yet.

The Stream is not the only big trend taking place right now. In fact, it's just a strand that is being braided together with several other trends, as part of a larger pattern. Here are some of the other strands I'm tracking:

• Messaging. The real-time Web aka The Stream is really about messaging in essence. It's a subset of the global trend towards building a better messaging layer for the Web. Multiple forms of messaging are emerging, from the publish-and-subscribe nature of Twitter and RSS, to things like Google Wave, Pubsubhubub, and broadcast style messaging or multicasting via screencast, conferencing and media streaming and events in virtual worlds. The effect of these tools is that the speed and interactivity of the Web areincreasing -- the Web is getting faster. Information spreads more virally, more rapidly -- in other words, "memes" (which we can think of as collective thoughts) are getting more sophisticated and gaining more mobility.
• Semantics. The Web becomes more like a database. The resolution of search, ad targeting, and publishing increases. In other words, it's a higher-resolution Web. Search will be able to target not just keywords but specific meaning. For example, you will be able to search precisely for products or content that meet certain constraints. Multiple approaches from natural language search to the metadata of the Semantic Web will contribute to increased semantic understanding and representation of the Web.
• Attenuation. As information moves faster, and our networks get broader, information overload gets worse in multiple dimensions. This creates a need for tools to help people filter the firehose. Filtering in its essence is a process of attenuation -- a way to focus attention more efficiently on signal versus noise. Broadly speaking there are many forms of filtering from automated filtering, to social filtering, to personalization, but they all come down to helping someone focus their finite attention more efficiently on the things they care about most.
• The WebOS.  As cloud computing resources, mashups, open linked data, and open API's proliferate, a new level of aggregator is emerging. These aggregators may focus on one of these areas or may cut across them. Ultimately they are the beginning of true cross-service WebOS's. I predict this is going to be a big trend in the future -- for example instead of writing Web apps directly to various data and API's in dozens of places, just write to a single WebOS aggregator that acts as middleware between your app and all these choices. It's much less complicated for developers. The winning WebOS is probably not going to come from Google, Microsoft or Amazon -- rather it will probably come from someone neutral, with the best interests of developers as the primary goal.
• Decentralization. As the semantics of the Web get richer, and the WebOS really emerges it will finally be possible for applications to leverage federated, Web-scale computing. This is when intelligent agents will actually emerge and be practical. By this time the Web will be far too vast and complex and rapidly changing for any centralized system to index and search it. Only massively federated swarms of intelligent agents, or extremely dynamic distributed computing tools, that can spread around the Web as they work, will be able to keep up with the Web.
• Socialization. Our interactions and activities on the Web are increasingly socially networked, whether individual, group or involving large networks or crowds. Content is both shared and discovered socially through our circles of friends and contacts. In addition, new technologies like Google Social Search enable search results to be filtered by social distance or social relevancy. In other words, things that people you follow like get higher visibility in your search results. Socialization is a trend towards making previously non-social activities more social, and towards making already-social activites more efficient and broader. Ultimately this process leads to wider collaboration and higher levels of collective intelligence.
• Augmentation. Increasingly we will see a trend towards augmenting things with other things. For example, augmenting a Web page or data set with links or notes from another Web page or data set. Or augmenting reality by superimposing video and data onto a live video image on a mobile phone. Or augmenting our bodies with direct connections to computers and the Web.

If these are all strands in a larger pattern, then what is the megatrend they are all contributing to? I think ultimately it's collective intelligence -- not just of humans, but also our computing systems, working in concert.

Collective Intelligence

I think that these trends are all combining, and going real-time. Effectively what we're seeing is the evolution of a global collective mind, a theme I keep coming back to again and again. This collective mind is not just comprised of humans, but also of software and computers and information, all interlinked into one unimaginably complex system: A system that senses the universe and itself, that thinks, feels, and does things, on a planetary scale. And as humanity spreads out around the solar system and eventually the galaxy, this system will spread as well, and at times splinter and reproduce.

But that's in the very distant future still. In the nearer term -- the next 100 years or so -- we're going to go through some enormous changes. As the world becomes increasingly networked and social the way collective thinking and decision making take place is going to be radically restructured. 

Social Evolution

Existing and established social, political and economic structures are going to either evolve or be overturned and replaced. Everything from the way news and entertainment are created and consumed, to how companies, cities and governments are managed will change radically. Top-down beaurocratic control systems are simply not going to be able to keep up or function effectively in this new world of distributed, omnidirectional collective intelligence.

Physical Evolution

As humanity and our Web of information and computatoins begins to function as a single organism, we will evolve literally, into a new species: Whatever is after the homo sapien. The environment we will live in will be a constantly changing sea of collective thought in which nothing and nobody will be isolated. We will be more interdependent than ever before. Interdependence leads to symbiosis, and eventually to the loss of generality and increasing specialization. As each of us is able to draw on the collective mind, the global brain, there may be less pressure on us to do things on our own that used to be solitary. What changes to our bodies, minds and organizations may result from these selective evolutionary pressures? I think we'll see several, over multi-thousand year timescales, or perhaps faster if we start to genetically engineer ourselves:

• Individual brains will get less good at things like memorization and recall, calculation, reasoning, and long-term planning and action.
• Individual brains will get better at multi-tasking, information filtering, trend detection, and social communication. The parts of the nervous system involved in processing live information will increase disproportionately to other parts.
• Our bodies may actually improve in certain areas. We will become more, not less, mobile, as computation and the Web become increasingly embedded into our surroundings, and into augmented views of our environments. This may cause our bodies to get into better health and shape since we will be less sedentary, less at our desks, less in front of TV's. We'll be moving around in the world, connected to everything and everyone no matter where we are. Physical strength will probably decrease overall as we will need to do less manual labor of any kind.

These are just some of the changes that are likely to occur as a result of the things we're working on today. The Web and the emerging Real-Time Web are just a prelude of things to come.

The Future of the Web: BBC Interview

The BBC World Service's Business Daily show interviewed the CTO of Xerox and me, about the future of the Web, printing, newspapers, search, personalization, the real-time Web. Listen to the audio stream here. I hear this will only be online at this location for 6 more days. If anyone finds it again after that let me know and I'll update the link here.

The Next Generation of Web Search -- Search 3.0

The next generation of Web search is coming sooner than expected. And with it we will see several shifts in the way people search, and the way major search engines provide search functionality to consumers.

Web 1.0, the first decade of the Web (1989 - 1999), was characterized by a distinctly desktop-like search paradigm. The overriding idea was that the Web is a collection of documents, not unlike the folder tree on the desktop, that must be searched and ranked hierarchically. Relevancy was considered to be how closely a document matched a given query string.

Web 2.0, the second decade of the Web (1999 - 2009), ushered in the beginnings of a shift towards social search. In particular blogging tools, social bookmarking tools, social networks, social media sites, and microblogging services began to organize the Web around people and their relationships. This added the beginnings of a primitive "web of trust" to the search repertoire, enabling search engines to begin to take the social value of content (as evidences by discussions, ratings, sharing, linking, referrals, etc.) as an additional measurment in the relevancy equation. Those items which were both most relevant on a keyword level, and most relevant in the social graph (closer and/or more popular in the graph), were considered to be more relevant. Thus results could be ranked according to their social value -- how many people in the community liked them and current activity level -- as well as by semantic relevancy measures.

In the coming third decade of the Web, Web 3.0 (2009 - 2019), there will be another shift in the search paradigm. This is a shift to from the past to the present, and from the social to the personal.

Established search engines like Google rank results primarily by keyword (semantic) relevancy. Social search engines rank results primarily by activity and social value (Digg, Twine 1.0, etc.). But the new search engines of the Web 3.0 era will also take into account two additional factors when determining relevancy: timeliness, and personalization.

Google returns the same results for everyone. But why should that be the case? In fact, when two different people search for the same information, they may want to get very different kinds of results. Someone who is a novice in a field may want beginner-level information to rank higher in the results than someone who is an expert. There may be a desire to emphasize things that are novel over things that have been seen before, or that have happened in the past -- the more timely something is the more relevant it may be as well.

These two themes -- present and personal -- will define the next great search experience.

To accomplish this, we need to make progress on a number of fronts.

First of all, search engines need better ways to understand what content is, without having to do extensive computation. The best solution for this is to utilize metadata and the methods of the emerging semantic web.

Metadata reduces the need for computation in order to determine what content is about -- it makes that explicit and machine-understandable. To the extent that machine-understandable metadata is added or generated for the Web, it will become more precisely searchable and productive for searchers.

This applies especially to the area of the real-time Web, where for example short "tweets" of content contain very little context to support good natural-language processing. There a little metadata can go a long way. In addition, of course metadata makes a dramatic difference in search of the larger non-real-time Web as well.

In addition to metadata, search engines need to modify their algorithms to be more personalized. Instead of a "one-size fits all" ranking for each query, the ranking may differ for different people depending on their varying interests and search histories.

Finally, to provide better search of the present, search has to become more realtime. To this end, rankings need to be developed that surface not only what just happened now, but what happened recently and is also trending upwards and/or of note. Realtime search has to be more than merely listing search results chronologically. There must be effective ways to filter the noise and surface what's most important effectively. Social graph analysis is a key tool for doing this, but in addition, powerful statistical analysis and new visualizations may also be required to make a compelling experience.

Video: My Talk on The Future of Libraries -- "Library 3.0"

If you are interested in semantics, taxonomies, education, information overload and how libraries are evolving, you may enjoy this video of my talk on the Semantic Web and the Future of Libraries at the OCLC Symposium at the American Library Association Midwinter 2009 Conference. This event focused around a dialogue between David Weinberger and myself, moderated by Roy Tennant. We were forutnate to have an audience of about 500 very vocal library directors in the audience and it was an intensive day of thinking together. Thanks to the folks at OCLC for a terrific and really engaging event!

Video: My Talk on the Evolution of the Global Brain at the Singularity Summit

If you are interested in collective intelligence, consciousness, the global brain and the evolution of artificial intelligence and superhuman intelligence, you may want to see my talk at the 2008 Singularity Summit. The videos from the Summit have just come online.

(Many thanks to Hrafn Thorisson who worked with me as my research assistant for this talk).

Interest Networks are at a Tipping Point

UPDATE: There's already a lot of good discussion going on around this post in my public twine.

I’ve been writing about a new trend that I call “interest networking” for a while now. But I wanted to take the opportunity before the public launch of Twine on Tuesday (tomorrow) to reflect on the state of this new category of applications, which I think is quickly reaching its tipping point. The concept is starting to catch on as people reach for more depth around their online interactions.

In fact – that’s the ultimate value proposition of interest networks – they move us beyond the super poke and towards something more meaningful. In the long-term view, interest networks are about building a global knowledge commons. But in the short term, the difference between social networks and interest networks is a lot like the difference between fast food and a home-cooked meal – interest networks are all about substance.

At a time when social media fatigue is setting in, the news cycle is growing shorter and shorter, and the world is delivered to us in soundbytes and catchphrases, we crave substance. We go to great lengths in pursuit of substance. Interest networks solve this problem – they deliver substance.

So, what is an interest network?

In short, if a social network is about who you are interested in, an interest network is about what you are interested in. It’s the logical next step.

Twine for example, is an interest network that helps you share information with friends, family, colleagues and groups, based on mutual interests. Individual “twines” are created for content around specific subjects. This content might include bookmarks, videos, photos, articles, e-mails, notes or even documents. Twines may be public or private and can serve individuals, small groups or even very large groups of members.

I have also written quite a bit about the Semantic Web and the Semantic Graph, and Tim Berners-Lee has recently started talking about what he calls the GGG (Giant Global Graph). Tim and I are in agreement that social networks merely articulate the relationships between people. Social networks do not surface the equally, if not more important, relationships between people and places, places and organizations, places and other places, organization and other organizations, organization and events, documents and documents, and so on.

This is where interest networks come in. It’s still early days to be clear, but interest networks are operating on the premise of tapping into a multi--dimensional graph that manifests the complexity and substance of our world, and delivers the best of that world to you, every day.

We’re seeing more and more companies think about how to capitalize on this trend. There are suddenly (it seems, but this category has been building for many months) lots of different services that can be viewed as interest networks in one way or another, and here are some examples:

• Twine (my site)
• Friendfeed
• Strands
• Intuu
• SocialMedian
• Zimesh
• Popego
• YourVersion

What all of these interest networks have in common is some sort of a bottom-up, user-driven crawl of the Web, which is the way that I’ve described Twine when we get the question about how we propose to index the entire Web (the answer: we don’t. We let our users tell us what they’re most interested in, and we follow their lead).

Most interest networks exhibit the following characteristics as well:

• They have some sort of bookmarking/submission/markup function to store and map data (often using existing metaphors, even if what’s under the hood is new)
• They also have some sort of social sharing function to provide the network benefit (this isn’t exclusive to interest networks, obviously, but it is characteristic)
• And in most cases, interest networks look to add some sort of “smarts” or “recommendations” capability to the mix (that is, you get more out than you put in)

This last bullet point is where I see next-generation interest networks really providing the most benefit over social bookmarking tools, wikis, collaboration suites and pure social networks of one kind or another.

To that end, we think that Twine is the first of a new breed of intelligent applications that really get to know you better and better over time – and that the more you use Twine, the more useful it will become. Adding your content to Twine is an investment in the future of your data, and in the future of your interests.

At first Twine begins to enrich your data with semantic tags and links to related content via our recommendations engine that learns over time. Twine also crawls any links it sees in your content and gathers related content for you automatically – adding it to your personal or group search engine for you, and further fleshing out the semantic graph of your interests which in turn results in even more relevant recommendations.

The point here is that adding content to Twine, or other next-generation interest networks, should result in increasing returns. That’s a key characteristic, in fact, of the interest networks of the future – the idea that the ratio of work (input) to utility (output) has no established ceiling.

Another key characteristic of interest networks may be in how they monetize. Instead of being advertising-driven, I think they will focus more on a marketing paradigm. They will be to marketing what search engines were to advertising. For example, Twine will be monetizing our rich model of individual and group interests, using our recommendation engine. When we roll this capability out in 2009, we will deliver extremely relevant, useful content, products and offers directly to users who have demonstrated they are really interested in such information, according to their established and ongoing preferences.

6 months ago, you could not really prove that “interest networking” was a trend, and certainly it wasn’t a clearly defined space. It was just an idea, and a goal. But like I said, I think that we’re at a tipping point, where the technology is getting to a point at which we can deliver greater substance to the user, and where the culture is starting to crave exactly this kind of service as a way of making the Web meaningful again.

I think that interest networks are a huge market opportunity for many startups thinking about what the future of the Web will be like, and I think that we’ll start to see the term used more and more widely. We may even start to see some attention from analysts -- Carla, Jeremiah, and others, are you listening?

Now, I obviously think that Twine is THE interest network of choice. After all we helped to define the category, and we’re using the Semantic Web to do it. There’s a lot of potential in our engine and our application, and the growing community of passionate users we’ve attracted.

Our 1.0 release really focuses on UE/usability, which was a huge goal for us based on user feedback from our private beta, which began in March of this year. I’ll do another post soon talking about what’s new in Twine. But our TOS (time on site) at 6 minutes/user (all time) and 12 minutes/user (over the last month) is something that the team here is most proud of – it tells us that Twine is sticky, and that “the dogs are eating the dog food.”

Now that anyone can join, it will be fun and gratifying to watch Twine grow.

Still, there is a lot more to come, and in 2009 our focus is going to shift back to extending our Semantic Web platform and turning on more of the next-generation intelligence that we’ve been building along the way. We’re going to take interest networking to a whole new level.

Stay tuned!

Watch My best Talk: The Global Brain is Coming

I've posted a link to a video of my best talk -- given at the GRID '08 Conference in Stockholm this summer. It's about the growth of collective intelligence and the Semantic Web, and the future and role the media. Read more and get the video here. Enjoy!

New Video: Leading Minds from Google, Yahoo, and Microsoft talk about their Visions for Future of The Web

Video from my panel at DEMO Fall '08 on the Future of the Web is now available.

I moderated the panel, and our panelists were:

Howard Bloom, Author, The Evolution of Mass Mind from the Big Bang to the 21st Century

Peter Norvig, Director of Research, Google Inc.

Jon Udell, Evangelist, Microsoft Corporation

Prabhakar Raghavan, PhD, Head of Research and Search Strategy, Yahoo! Inc.

The panel was excellent, with many DEMO attendees saying it was the best panel they had ever seen at DEMO.

Many new and revealing insights were provided by our excellent panelists. I was particularly interested in the different ways that Google and Yahoo describe what they are working on. They covered lots of new and interesting information about their thinking. Howard Bloom added fascinating comments about the big picture and John Udell helped to speak about Microsoft's longer-term views as well.

Enjoy!!!

The Future of the Desktop

(Brief excerpt from a new post on my Public Twine -- Go there to read the whole thing and comment on it with me and others...).

I have spent the last year really thinking about the future of the Web. But lately I have been thinking more about the future of the desktop. In particular, here are some questions I am thinking about and some answers I've come up so far.

This is a raw, first-draft of what I think it will be like.

Is the desktop of the future going to just be a web-hosted version of the same old-fashioned desktop metaphors we have today?

No. We've already seen several attempts at doing that -- and they never catch on. People don't want to manage all their information on the Web in the same interface they use to manage data and apps on their local PC.

Partly this is due to the difference in user experience between using real live folders, windows and menus on a local machine and doing that in "simulated" fashion via some Flash-based or HTML-based imitation of a desktop.

Web desktops to-date have simply have been clunky and slow imitations of the real-thing at best. Others have been overly slick. But one thing they all have in common: None of them have nailed it.

Whoever does succeed in nailing this opportunity will have a real shot at becoming a very important player in the next-generation of the Web, Web 3.0.

From the points above it should be clear that I think the future of the desktop is going to be significantly different from what our desktops are like today.

It's going to be a hosted web service

Is the desktop even going to exist anymore as the Web becomes increasingly important? Yes, there is going to be some kind of interface that we consider to be our personal "home" and "workspace" -- but it will become unified across devices.

Currently we have different spaces on different devices (laptop, mobile device, PC). These will merge. In order for that to happen they will ultimately have to be provided as a service via the Web. Local clients may be created for various devices, but ultimately the most logical choice is to just use the browser as the client.

Our desktop will not come from any local device and will always be available to us on all our devices.

 

The skin of your desktop will probably appear within your local device's browser as a completely dynamically hosted web application coming from a remote server. It will load like a Web page, on-demand from a URL.

This new desktop will provide an interface both to your local device, applications and information, as well as to your online life and information.

Instead of the browser running inside, or being launched from, some kind of next-generation desktop web interface technology, it's will be the other way around: The browser will be the shell and the desktop application will run within it either as a browser add-in, or as a web-based application.

The Web 3.0 desktop is going to be completely merged with the Web -- it is going to be part of the Web. There will be no distinction between the desktop and the Web anymore.

Today we think of our Web browser running inside our desktop as an applicaiton. But actually it will be the other way around in the future: Our desktop will run inside our browser as an application.

The focus shifts from information to attention

As our digital lives shift from being focused on the old fashioned desktop (space-based metaphor) to the Web environment we will see a shift from organizing information spatially (directories, folders, desktops, etc.) to organizing information temporally (river of news, feeds, blogs, lifestreaming, microblogging).

Instead of being a big directory, the desktop of the future is going to be more like a Feed reader or social news site. The focus will be on keep up with all the stuff flowing through and what the trends are, rather than on all the stuff that is stored there already.

The focus will be on helping the user to manage their attention rather than just their information.

This is a leap to the meta-level. A second-order desktop. Instead of just being about the information (the first-order), it is going to be about what is happening with the information (the second-order).

It's going to shift us from acting as librarians to acting as daytraders.

Our digital roles are already shifting from effectively acting as "librarians" to becoming more like "daytraders." We are all focusing more on keep up with change than on organizing information today. This will continue to eat up more of our attention...

Read the rest of this on my public Twine! http://www.twine.com/item/11bshgkbr-1k5/the-future-of-the-desktop

Video of my Presentation at The Next Web 2008 Conference

Here is the full video of my talk on the Semantic Web at The Next Web 2008 Conference. Thanks to Boris and the NextWeb gang!

If Social Networks Were Like Cars...

I have been thinking a lot about social networks lately, and why there are so many of them, and what will happen in that space.

Today I had what I think is a "big realization" about this.

Everyone, including myself, seems to think that there is only room for one big social network, and it looks like Facebook is winning that race. But what if that assumption is simply wrong from the start?

What if social networks are more like automobile brands? In other words, there can, will and should be many competing brands in the space?

Social networks no longer compete on terms of who has what members. All my friends are in pretty much every major social network.

I also don't need more than one social network, for the same reason -- my friends are all in all of them. How many different ways do I need to reach the same set of people? I only need one.

But the Big Realization is that no social network satisfies all types of users. Some people are more at home in a place like LinkedIn than they are in Facebook, for example. Others prefer MySpace.  There are always going to be different social networks catering to the common types of people (different age groups, different personalities, different industries, different lifestyles, etc.).

The Big Realization implies that all the social networks are going to be able to interoperate eventually, just like almost all email clients and servers do today. Email didn't begin this way. There were different networks, different servers and different clients, and they didn't all speak to each other. To communicate with certain people you had to use a certain email network, and/or a certain email program. Today almost all email systems interoperate directly or at least indirectly. The same thing is going to happen in the social networking space.

Today we see the first signs of this interoperability emerging as social networks open their APIs and enable increasing integration. Currently there is a competition going on to see which "open" social network can get the most people and sites to use it. But this is an illusion. It doesn't matter who is dominant, there are always going to be alternative social networks, and the pressure to interoperate will grow until it happens. It is only a matter of time before they connect together.

I think this should be the greatest fear at companies like Facebook. For when it inevitably happens they will be on a level playing field competing for members with a lot of other companies large and small. Today Facebook and Google's scale are advantages, but in a world of interoperability they may actually be disadvantages -- they cannot adapt, change or innovate as fast as smaller, nimbler startups.

Thinking of social networks as if they were automotive brands also reveals interesting business opportunities. There are still several unowned opportunities in the space.

Myspace is like the car you have in high school. Probably not very expensive, probably used, probably a bit clunky. It's fine if you are a kid driving around your hometown.

Facebook is more like the car you have in college. It has a lot of your junk in it, it is probably still not cutting edge, but its cooler and more powerful.

LinkedIn kind of feels like a commuter car to me. It's just for business, not for pleasure or entertainment.

So who owns the "adult luxury sedan" category? Which one is the BMW of social networks?

Who owns the sportscar category? Which one is the Ferrari of social networks?

Who owns the entry-level commuter car category?

Who owns equivalent of the "family stationwagon or minivan" category?

Who owns the SUV and offroad category?

You see my point. There are a number of big segments that are not owned yet, and it is really unlikely that any one company can win them all.

If all social networks are converging on the same set of features, then eventually they will be close to equal in function. The only way to differentiate them will be in terms of the brands they build and the audience segments they focus on. These in turn will cause them to emphasize certain features more than others.

In the future the question for consumers will be "Which social network is most like me? Which social network is the place for me to base my online presence?"

Sue may connect to Bob who is in a different social network -- his account is hosted in a different social network. Sue will not be a member of Bob's service, and Bob will not be a member of Sue's, yet they will be able to form a social relationship and communication channel. This is like email. I may use Outlook and you may use Gmail, but we can still send messages to each other.

Although all social networks will interoperate eventually, depending on each person's unique identity they may choose to be based in -- to live and surf in -- a particular social network that expresses their identity, and caters to it. For example, I would probably want to be surfing in the luxury SUV of social networks at this point in my life, not in the luxury sedan, not the racecar, not in the family car, not the dune-buggy. Someone else might much prefer an open source, home-built social network account running on a server they host. It shouldn't matter -- we should still be able to connect, share stuff, get notified of each other's posts, etc. It should feel like we are in a unified social networking fabric, even though our accounts live in different services with different brands, different interfaces, and different features.

I think this is where social networks are heading. If it's true then there are still many big business opportunities in this space.

A Few Predictions for the Near Future

This is a five minute video in which I was asked to make some predictions for the next decade about the Semantic Web, search and artificial intelligence. It was done at the NextWeb conference and was a fun interview.

Learning from the Future with Nova Spivack from Maarten on Vimeo.

My Visit to DERI -- World's Premier Semantic Web Research Institute

Earlier this month I had the opportunity to visit, and speak at, the Digital Enterprise Research Institute (DERI), located in Galway, Ireland. My hosts were Stefan Decker, the director of the lab, and John Breslin who is heading the SIOC project.

DERI has become the world's premier research institute for the Semantic Web. Everyone working in the field should know about them, and if you can, you should visit the lab to see what's happening there.

Part of the National University of Ireland, Galway. With over 100 researchers focused solely on the Semantic Web, and very significant financial backing, DERI has, to my knowledge, the highest concentration of Semantic Web expertise on the planet today. Needless to say, I was very impressed with what I saw there. Here is a brief synopsis of some of the projects that I was introduced to:

• Semantic Web Search Engine (SWSE) and YARS, a massively scalable triplestore.  These projects are concerned with crawling and indexing the information on the Semantic Web so that end-users can find it. They have done good work on consolidating data and also on building a highly scalable triplestore architecture.
• Sindice -- An API and search infrastructure for the Semantic Web. This project is focused on providing a rapid indexing API that apps can use to get their semantic content indexed, and that can also be used by apps to do semantic searches and retrieve semantic content from the rest of the Semantic Web. Sindice provides Web-scale semantic search capabilities to any semantic application or service.
• SIOC -- Semantically Interlinked Online Communities. This is an ontology for linking and sharing data across online communities in an open manner, that is getting a lot of traction. SIOC is on its way to becoming a standard and may play a big role in enabling portability and interoperability of social Web data.
• JeromeDL is developing technology for semantically enabled digital libraries. I was impressed with the powerful faceted navigation and search capabilities they demonstrated.
  
• notitio.us. is a project for personal knowledge management of bookmarks and unstructured data.
• SCOT, OpenTagging and Int.ere.st.  These projects are focused on making tags more interoperable, and for generating social networks and communities from tags. They provide a richer tag ontology and framework for representing, connecting and sharing tags across applications.
• Semantic Web Services.  One of the big opportunities for the Semantic Web that is often overlooked by the media is Web services. Semantics can be used to describe Web services so they can find one another and connect, and even to compose and orchestrate transactions and other solutions across networks of Web services, using rules and reasoning capabilities. Think of this as dynamic semantic middleware, with reasoning built-in.
• eLite. I was introduced to the eLite project, a large e-learning initiative that is applying the Semantic Web.
• Nepomuk.  Nepomuk is a large effort supported by many big industry players. They are making a social semantic desktop and a set of developer tools and libraries for semantic applications that are being shipped in the Linux KDE distribution. This is a big step for the Semantic Web!
• Semantic Reality. Last but not least, and perhaps one of the most eye-opening demos I saw at DERI, is the Semantic Reality project. They are using semantics to integrate sensors with the real world. They are creating an infrastructure that can scale to handle trillions of sensors eventually. Among other things I saw, you can ask things like "where are my keys?" and the system will search a network of sensors and show you a live image of your keys on the desk where you left them, and even give you a map showing the exact location. The service can also email you or phone you when things happen in the real world that you care about -- for example, if someone opens the door to your office, or a file cabinet, or your car, etc. Very groundbreaking research that could seed an entire new industry.

In summary, my visit to DERI was really eye-opening and impressive. I recommend that major organizations that want to really see the potential of the Semantic Web, and get involved on a research and development level, should consider a relationship with DERI -- they are clearly the leader in the space.

How about Web 3G?

I'm here at the BlogTalk conference in Cork, Ireland with a range of bloggers and technologists discussing the emerging social Web. Including myself, Ian Davis and Paul Miller from Talis, there are also a bunch of other Semantic Web folks including Dan Brickley, and a group from DERI Galway.

Over dinner a few of us were discussing the terms "Semantic Web" versus "Web 3.0" and we all felt a better term was needed. After some thinking, Ian Davis suggested "Web 3G." I like this term better than Web 3.0 because it loses the "version number" aspect that so many objected to. It has a familiar ring to it as well, reminding me of the 3G wireless phone initiative. It also suggests Tim Berners-Lee's "Giant Global Graph" or GGG -- a synonym for the Semantic Web. Ian stayed up late and put together a nice blog post about the term, echoing many of my own sentiments about how this term should apply to a decade (the third decade of the Web), rather than to a particular technology.

Help us Win! Twine is a Finalist in the Crunchies!

My company's product, Twine.com, has made it to the finalist round in the Crunchies, a new annual tech industry awards competition, under the Best Technical Achievement category. Please help us win by casting your vote for Twine here. Thanks!

UPDATE: It turns out, that for some odd reason the Crunchies allows each voter to vote once per day per category -- in other words, you can vote multiple times in the same category -- one vote per user per day -- so please vote for Twine again if you can.

Powerpoint Deck: Making Sense of the Semantic Web, and Twine

Now that I have been asked by several dozen people for the slides from my talk on "Making Sense of the Semantic Web," I guess it's time to put them online. So here they are, under the Creative Commons Attribution License (you can share it with attribution this site).

You can download the Powerpoint file at the link below:

Download nova_spivack_semantic_web_talk.ppt

Or you can view it right here:

| View | Upload your own

Enjoy! And I look forward to your thoughts and comments.

True Knowledge is Cool

The most interesting and exciting new app I've seen this month (other than Twine of course!) is a new semantic search engine called True Knowledge. Go to their site and watch their screencast to see what the next generation of search is really going to look like.

True Knowledge is doing something very different from Twine -- whereas Twine is about helping individuals, groups and teams manage their private and shared knowledge, True Knowledge is about making a better public knowledgebase on the Web -- in a sense they are a better search engine combined with a better Wikipedia. They seem to overlap more with what is being done by natural language search companies like Powerset and companies working on public databases, such as Metaweb and Wikia.

I don't yet know whether True Knowledge is supporting W3C open-standards for the Semantic Web, but if they do, they will be well-positioned to become a very central service in the next phase of the Web. If they don't they will just be yet another silo of data -- but a very useful one at least. I personally hope they provide SPARQL API access at the very least. Congratulations to the team at True Knowledge! This is a very impressive piece of work.

Radar Networks Announces Twine.com

My company, Radar Networks, has just come out of stealth. We've announced what we've been working on all these years: It's called Twine.com. We're going to be showing Twine publicly for the first time at the Web 2.0 Summit tomorrow. There's lot's of press coming out where you can read about what we're doing in more detail. The team is extremely psyched and we're all working really hard right now so I'll be brief for now. I'll write a lot more about this later.

Web 3.0 -- The Best Official Definition Imaginable

Jason just blogged his take on an official definition of "Web 3.0" -- in his case he defines it as better content, built using Web 2.0 technologies. There have been numerous responses already, but since I am one of the primary co-authors of the Wikipedia page on the term Web 3.0, I thought I should throw my hat in the ring here.

Web 3.0, in my opinion is best defined as the third-decade of the Web (2009 - 2019), during which time several key technologies will become widely used. Chief among them will be RDF and the technologies of the emerging Semantic Web. While Web 3.0 is not synonymous with the Semantic Web (there will be several other important technology shifts in that period), it will be largely characterized by semantics in general.

Web 3.0 is an era in which we will upgrade the back-end of the Web, after a decade of focus on the front-end (Web 2.0 has mainly been about AJAX, tagging, and other front-end user-experience innovations.) Web 3.0 is already starting to emerge in startups such as my own Radar Networks (our product is Twine) but will really become mainstream around 2009.

Why is defining Web 3.0 as a decade of time better than just about any other possible definition of the term? Well for one thing, it's a definition that can't easily be co-opted by any company or individual around some technology or product. It's also a completely unambiguous definition -- it refers to a particular time period and everything that happens in Web technology and business during that period. This would end the debate about what the term means and move it to something more useful to discuss: What technologies and trends will actually become important in the coming decade of the Web?

It's time to once again pull out my well-known graph of Web 3.0 to illustrate what I mean...

(Click the thumbnail for a larger, reusable version)

I've written fairly extensively on the subjects of defining Web 3.0 and the Semantic Web. Here are some links to get you started if you want to dig deeper:

The Semantic Web: From Hypertext to Hyperdata
The Meaning and Future of the Semantic Web
How the WebOS Evolves
Web 3.0 Roundup
Gartner is Wrong About Web 3.0
Beyond Keyword (And Natural Language) Search
Enriching the Connections of the Web: Making the Web Smarter
Next Step for the Web
Doing for Data What HTML Did for Documents

The Semantic Web, Collective Intelligence and Hyperdata

I'm posting this in response to a recent post by Tim O'Reilly which focused on disambiguating what the Semantic Web is and is not, as well as the subject of Collective Intelligence. I generally agree with Tim's post, but I do have some points I would add by way of clarification. In particular, in my opinion,  the Semantic Web is all about collective intelligence, on several levels. I would also suggest that the term "hyperdata" is a possibly useful way to express what the Semantic Web is really all about.

What Makes Something a Semantic Web Application?

I agree with Tim that the term "Semantic Web" refers to the use of a particular set of emerging W3C open standards. These standards include RDF, OWL, SPARQL, and GRDDL. A key requirement for an application to have "Semantic Web inside" so to speak, is that it makes use of or is compatible with, at the very least, basic RDF. Another alternative definition is that for an application to be "Semantic Web" it must make at least some use of an ontology, using a W3C standard for doing so.

Semantic Versus Semantic Web

Many applications and services claim to be "semantic" in one manner or another, but that does not mean they are "Semantic Web." Semantic applications include any applications that can make sense of meaning, particularly in language such as unstructured text, or structured data in some cases. By this definition, all search engines today are somewhat "semantic" but few would qualify as "Semantic Web" apps.

The Difference Between "Data On the Web" and a "Web of Data"

The Semantic Web is principally about working with  data in a new and hopefully better way, and making that data available on the Web if desired in an open fashion such that other applications can understand and reuse it more easily. We call this idea "The Data Web" -- the notion is that we are transforming the Web from a distributed file server into something that is more like a distributed database.

Instead of the basic objects being web pages, they are actually pieces of data (triples) and records formed from them (sets, trees, graphs or objects comprised of triples). There can be any number of triples within a Web page, and there can also be triples on the Web that do not exist within Web pages at all -- they can come directly from databases for example.

One might respond to this by noting that there is already a lot of data on the Web, in XML and other formats -- how is the Semantic Web different from that? What is the difference between "Data on the Web" and the idea of "The Data Web?"

The best answer to this question that I have heard was something that Dean Allemang said at a recent Semantic Web SIG in Palo Alto. Dean said, "Sure there is data on the Web, but it's not actually a web of data."  The difference is that in the Semantic Web paradigm, the data can be linked to other data in other places, it's a web of data, not just data on the Web.

I call this concept of interconnected data, "Hyperdata." It does for data what hypertext did for text. I'm probably not the originator of this term, but I think it is a very useful term and analogy for explaining the value of the Semantic Web.

Another way to think of it is that the current Web is a big graph of interconnected nodes, where the nodes are usually HTML documents, but in the Semantic Web we are talking about a graph of interconnected data statements that can be as general or specific as you want. A data record is a set of data statements about the same subject, and they don't have to live in one place on the network -- they could be spread over many locations around the Web.

A statement to the effect of "Sue lives in Palo Alto" could exist on site A, refer to a URI for a statement defining Sue on site B, a URI for a statement that defines "lives in" on site C, and a URI for a statement defining "Palo Alto" on site D. That's a web of data. What's cool is that anyone can potentially add statements to this web of data, it can be completely emergent.

The Semantic Web is Built by and for Collective Intelligence

This is where I think Tim and others who think about the Semantic Web may be missing an essential point. The Semantic Web is in fact highly conducive to "collective intelligence." It doesn't require that machines add all the statements using fancy AI. In fact, in a next-generation folksonomy, when tags are created by human users, manually, they can easily be encoded as RDF statements. And by doing this you get lots of new capabilities, like being able to link tags to concepts that define their meaning, and to other related tags.

Humans can add tags that become semantic web content. They can do this manually or software can help them. Humans can also fill out forms that generate RDF behind the scenes, just as filling out a blog posting form generates HTML, XML, ATOM etc. Humans don't actually write all that code, software does it for them, yet blogging and wikis for example are considered to be collective intelligence tools.

So the concept of folksonomy and tagging is truly orthogonal to the Semantic Web. They are not mutually exclusive at all. In fact the Semantic Web -- or at least "Semantic Web Lite" (RDF + only basic use of OWL + basic SPARQL) is capable of modelling and publishing any data in the world in a more open way.

Any application that uses data could do everything it does using these technologies. Every single form of social, user-generated content and community could, and probably will, be implemented using RDF in one manner or another within the next decade or so. And in particular, RDF and OWL + SPARQL are ideal for social networking services -- the data model is a much better match for the structure of the data and the network of users and the kinds of queries that need to be done.

Folktologies

This notion that somehow the Semantic Web is not about folksonomy needs to be corrected. For example, take Metaweb's Freebase. Freebase is what I call a "folktology" -- it's an emergent, community generated ontology. Users collaborate to add to the ontology and the knowledge base that is populated within it. That's a wonderful example of collective intelligence, user generated content, and semantics (although technically to my knowledge they are not using RDF for this, their data model is from what I can see functionally equivalent and I would expect at least a SPARQL interface from them eventually).

But that's not all -- check out TagCommons and this Tag Ontology discussion, and also the SKOS ontology -- all of which are working on semantic ways of characterizing simple tags in order to enrich folksonomies and enable better collective intelligence.

There are at least two other places where the Semantic Web naturally leverages and supports collective intelligence. The first is the fact that people and software can generate triples (people could do it by hand, but generally they will do it by filling out Web forms or answering questions or dialog boxes etc.) and these triples can live all over the Web, yet interconnect or intersect (when they are about the same subjects or objects).

I can create data about a piece of data you created, for example to state that I agree with it, or that I know something else about it. You can create data about my data. Thus a data-set can be generated in a distributed way -- it's not unlike a wiki for example. It doesn't have to work this way, but at least it can if people do this.

The second point is that OWL, the ontology language, is designed to support an infinite number of ontologies -- there doesn't have to be just one big ontology to "rule them all." Anyone can make a simple or complex ontology and start to then make data statements that refer to it. Ontologies can link to or include other ontologies, or pieces of them, to create bigger distributed ontologies that cover more things.

This is kind of like not only mashing up the data, but also mashing up the schemas too. Both of these are examples of collective intelligence. In the case of ontologies, this is already happening, for example many ontologies already make use of other ontologies like the Dublin Core and Foaf.

The point here is that there is in fact a natural and very beneficial fit between the technologies of the Semantic Web and what Tim O'Reilly defines Web 2.0 to be about (essentially collective intelligence). In fact the designers of the underlying standards of the Semantic Web specifically had "collective intelligence" in mind when they came up with these ideas. They were specifically trying to rectify several problems in the closed, data-silo world of old fashioned databases. The big motivation was to make data more integrated, to enable applications to share data more easily, and to be able to build data with other data, and to build schemas with other schemas. It's all about enabling connections and network effects.

Now, whether people end up using these technologies to do interesting things that enable human-level collective intelligence (as opposed to just software level collective intelligence) is an open question. At least some companies such as my own Radar Networks and Metaweb, and Talis (thanks, Danny), are directly focused on this, and I think it is safe to say this will be a big emerging trend. RDF is a great fit for social and folksonomy-based applications.

Web 3.0 and the concept of "Hyperdata"

Where Tim defines Web 2.0 as being about collective intelligence generally, I would define Web 3.0 as being about "connective intelligence." It's about connecting data, concepts, applications and ultimately people. The real essence of what makes the Web great is that it enables a global hypertext medium in which collective intelligence can emerge. In the case of Web 3.0, which begins with the Data Web and will evolve into the full-blown Semantic Web over a decade or more, the key is that it enables a global hyperdata medium (not just hypertext).

As I mentioned above, hyperdata is to data what hypertext is to text. Hyperdata is a great word -- it is so simple and yet makes a big point. It's about data that links to other data. It does for data what hypertext does for text. That's what RDF and the Semantic Web are really all about. Reasoning is NOT the main point (but is a nice future side-effect...). The main point is about growing a web of data.

Just as the Web enabled a huge outpouring of collective intelligence via an open global hypertext medium, the Semantic Web is going to enable a similarly huge outpouring of collective knowledge and cognition via a global hyperdata medium. It's the Web, only better.

Open Source Projects for Extracting Data and Metadata from Files & the Web

I've been looking around for open-source libraries (preferably in Java, but not required) for extracting data and metadata from common file formats and Web formats. One project that looks very promising is Aperture. Do you know of any others that are ready or almost ready for prime-time use? Please let me know in the comments! Thanks.

Microsoft Astoria Not Supporting RDF

Microsoft's Astoria project has decided to make RDF a lower priority and is not supporting it for now. So much for Microsoft participating in the Semantic Web.

The Astoria project page describes the project thusly:

The goal of Microsoft Codename Astoria is to enable applications to expose data as a data service that can be consumed by web clients within a corporate network and across the internet. The data service is reachable over HTTP, and URIs are used to identify the various pieces of information available through the service. Interactions with the data service happens in terms of HTTP verbs such as GET, POST, PUT and DELETE, and the data exchanged in those interactions is represented in simple formats such as XML and JSON.

That sounds like a perfect description of a Web 3.0 service-- and a perfect use-case for RDF and SPARQL!  But the team at Astoria doesn't seem to feel anyone is actually using RDF enough to warrant supporting that open standard. Well, perhaps among Microsoft's customers that is true enough. But on the other hand, this is a missed opportunity to exercise forward-thinking leadership that will pay dividends to Microsoft in the future when millions of developers and applications will be using RDF as their common language. When is that future? Perhaps as soon as 2 - 3 years. Certainly not more than 5 years.

Welcome to the age of openness: The more open your platform and data, the more developers will want to use it. RDF is one of the ways to make data more open, and supporting it in a data-web platform makes good sense. But it's hard to teach a an old god new tricks!

DBpedia.org is Among the Coolest Semantic Web Datasets I've Seen

I've been poking around in the DBpedia, and I'm amazed at the progress. It is definitely one of the coolest (launched) example of the Semantic Web I've seen. It's going to be a truly useful resource to everyone. If you haven't heard of it yet, check it out!

Virtual Out of Body Experiences

A very cool experiment in virtual reality has shown it is possible to trick the mind into identifying with a virtual body:

Through these goggles, the volunteers could see a camera view of their own back - a three-dimensional "virtual own body" that appeared to be standing in front of them.

When the researchers stroked the back of the volunteer with a pen, the volunteer could see their virtual back being stroked either simultaneously or with a time lag.

The volunteers reported that the sensation seemed to be caused by the pen on their virtual back, rather than their real back, making them feel as if the virtual body was their own rather than a hologram.

Volunteers

Even when the camera was switched to film the back of a mannequin being stroked rather than their own back, the volunteers still reported feeling as if the virtual mannequin body was their own.

And when the researchers switched off the goggles, guided the volunteers back a few paces, and then asked them to walk back to where they had been standing, the volunteers overshot the target, returning nearer to the position of their "virtual self".

This has implications for next-generation video games and virtual reality. It also has interesting implications for consciousness studies in general.

Knowledge Networking

I've been thinking for several years about Knowledge Networking. It's not a term I invented, it's been floating around as a meme for at least a decade or two. But recently it has started to resurface in my own work.

So what is a knowledge network? I define a knowledge network as a form of collective intelligence in which a network of people (two or more people connected by social-communication relationships) creates, organizes, and uses a collective body of knowledge. The key here is that a knowledge network is not merely a site where a group of people work on a body of information together (such as the wikipedia), it's also a social network -- there is an explicit representation of a social relationship within it. So it's more like a social network than for example a discussion forum or a wiki.

I would go so far as to say that knowledge networks are the third-generation of social software. (Note this is based in-part on ideas that emerged in conversations I have had with Peter Rip, so this also his idea):

• First-generation social apps were about communication (eg. messaging such as Email, discussion boards, chat rooms, and IM)
• Second-generation social apps were about people and content (eg. Social networks, social media sharing, user-generated content)
• Third-generation social apps are about relationships and knowledge  (eg. Wikis, referral networks, question and answer systems, social recommendation systems, vertical knowledge and expertise portals, social mashup apps, and coming soon, what we're building at Radar Networks)

Just some thoughts on a Saturday morning...

The Rise of the Social Operating System

In recent months we have witnessed a number of social networking sites begin to open up their platforms to outside developers. While this trend has been exhibited most prominently by Facebook, it is being embraced by all the leading social networking services, such as Plaxo, LinkedIn, Myspace and others. Along separate dimensions we also see a similar trend towards "platformization" in IM platforms such as Skype as well as B2B tools such as Salesforce.com.

If we zoom out and look at all this activity from a distance it appears that there is a race taking place to become "the social operating" system of the Web. A social operating system might be defined as a system that provides for systematic management and facilitation of human social relationships and interactions.

We might list some of the key capabilities of an ideal "social operating system" as:

• Identity management
  • Open portable identity
  • Personal profiles ("personas")
  • Privacy control
• Relationship management
  • Directory and lookup services (location of people to communicate with)
  • Social networking (opt-in relationship formation, indirect social connectivity via social networks)
  • Spam control
• Communication
  • Person to person communication
    • Synchronous (IM, VOIP)
    • Asynchronous (email, SMS)
  • Group communication
    • Synchronous (conferencing)
    • Asynchronous (group discussions)
• Social Content distribution
  
  • Personal publishing (blogging, home pages)
  • Public content distribution
• Social Coordination
  • Event management (scheduling, invitations, RSVP's)
  • Calendaring
• Social Collaboration
  • File sharing
  • Document collaboration (communal authoring/editing)
  • Collaborative filtering
  • Recommendation systems
  • Knowledge management
  • Human powered search
  • Project management
  • Workflow
• Commerce
  • Classified advertising
  • Auctions
  • Shopping

Today I have not seen any single player that provides a coherent solution to this entire "social stack" however Microsoft, Yahoo, and AOL are probably the strongest contenders. Can Facebook and other social networks truly compete or will they ultimately be absorbed into one of these larger players?

Enriching the Connections of the Web -- Making the Web Smarter

Web 3.0 -- aka The Semantic Web -- is about enriching the connections of the Web. By enriching the connections within the Web, the entire Web may become smarter.

I  believe that collective intelligence primarily comes from connections -- this is certainly the case in the brain where the number of connections between neurons far outnumbers the number of neurons; certainly there is more "intelligence" encoded in the brain's connections than in the neurons alone. There are several kinds of connections on the Web:

1. Connections between information (such as links)
2. Connections between people (such as opt-in social relationships, buddy lists, etc.)
3. Connections between applications (web services, mashups, client server sessions, etc.)
4. Connections between information and people (personal data collections, blogs, social bookmarking, search results, etc.)
5. Connections between information and applications (databases and data sets stored or accessible by particular apps)
6. Connections between people and applications (user accounts, preferences, cookies, etc.)

Are there other kinds of connections that I haven't listed -- please let me know!

I believe that the Semantic Web can actually enrich all of these types of connections, adding more semantics not only to the things being connected (such as representations of information or people or apps) but also to the connections themselves.

In the Semantic Web approach, connections are represented with statements of the form (subject, predicate, object) where the elements have URIs that connect them to various ontologies where their precise intended meaning can be defined. These simple statements are sometimes called "triples" because they have three elements. In fact, many of us are working with statements that have more than three elements ("tuples"), so that we can represent not only subject, predicate, object of statements, but also things like provenance (where did the data for the statement come from?), timestamp (when was the statement made), and other attributes. There really is no limit to what kind of metadata can be stored in these statements. It's a very simple, yet very flexible and extensible data model that can represent any kind of data structure.

The important point for this article however is that in this data model rather than there being just a single type of connection (as is the case on the present Web which basically just provides the HREF hotlink, which simply means "A and B are linked" and may carry minimal metadata in some cases), the Semantic Web enables an infinite range of arbitrarily defined connections to be used.  The meaning of these connections can be very specific or very general.

For example one might define a type of connection called "friend of" or a type of connection called "employee of" -- these have very different meanings (different semantics) which can be made explicit and also machine-readable using OWL. By linking a page about a person with the "employee of" link to another page about a different person, we can express that one of them employs the other. That is a statement that any application which can read OWL is able to see and correctly interpret, by referencing the underlying definition of "employee of" which is defined in some ontology and might for example specify that an "employee of" relation connects a person to a person or organization who is their employer. In other words, rather than just linking things with the generic "hotlink" we are all used to, they can now be linked with specific kinds of links that have very particular and unambiguous meaning and logical implications.

This has the potential at least to dramatically enrich the information-carrying capacity of connections (links) on the Web. It means that connections can carry more meaning, on their own. It's a new place to put meaning in fact -- you can put meaning between things to express their relationships. And since connections (links) far outnumber objects (information, people or applications) on the Web, this means we can radically improve the semantics of the structure of the Web as a whole -- the Web can become more meaningful, literally. This makes a difference, even if all we do is just enrich connections between gross-level objects (in other words, connections between Web pages or data records, as opposed to connections between concepts expressed within them, such as for example, people and companies mentioned within a single document).

Even if the granularity of this improvement in connection technology is relatively gross level it could still be a major improvement to the Web. The long-term implications of this have hardly been imagined let alone understood -- it is analogous to upgrading the dendrites in the human brain; it could be a catalyst for new levels of computation and intelligence to emerge.

It is important to note that, as illustrated above, there are many types of connections that involve people. In other words the Semantic Web, and Web 3.0, are just as much about people as they are about other things. Rather than excluding people, they actually enrich their relationships to other things. The Semantic Web, should, among other things, enable dramatically better social networking and collaboration to take place on the Web. It is not only about enriching content.

Now where will all these rich semantic connections come from? That's the billion dollar question. Personally I think they will come from many places: from end-users as they find things, author content, bookmark content, share content and comment on content (just as hotlinks come from people today), as well as from applications which mine the Web and automatically create them. Note that even when Mining the Web a lot of the data actually still comes from people -- for example, mining the Wikipedia, or a social network yields lots of great data that was ultimately extracted from user-contributions. So mining and artificial intelligence does not always imply "replacing people" -- far from it! In fact, mining is often best applied as a means to effectively leverage the collective intelligence of millions of people.

These are subtle points that are very hard for non-specialists to see -- without actually working with the underlying technologies such as RDF and OWL they are basically impossible to see right now. But soon there will be a range of Semantically-powered end-user-facing apps that will demonstrate this quite obviously. Stay tuned!

Of course these are just my opinions from years of hands-on experience with this stuff, but you are free to disagree or add to what I'm saying. I think there is something big happening though. Upgrading the connections of the Web is bound to have a significant effect on how the Web functions. It may take a while for all this to unfold however. I think we need to think in decades about big changes of this nature.

Web 3.0 -- Next-Step for Web?

The Business 2.0 Article on Radar Networks and the Semantic Web just came online. It's a huge article. In many ways it's one of the best popular articles written about the Semantic Web in the mainstream press. It also goes into a lot of detail about what Radar Networks is working on.

One point of clarification, just in case anyone is wondering...

Web 3.0 is not just about machines -- it's actually all about humans -- it leverages social networks, folksonomies, communities and social filtering AS WELL AS the Semantic Web, data mining, and artificial intelligence. The combination of the two is more powerful than either one on it's own. Web 3.0 is Web 2.0 + 1. It's NOT Web 2.0 - people. The "+ 1" is the addition of software and metadata that help people and other applications organize and make better sense of the Web. That new layer of semantics -- often called "The Semantic Web" -- will add to and build on the existing value provided by social networks, folksonomies, and collaborative filtering that are already on the Web.

So at least here at Radar Networks, we are focusing much of our effort on facilitating people to help them help themselves, and to help each other, make sense of the Web. We leverage the amazing intelligence of the human brain, and we augment that using the Semantic Web, data mining, and artificial intelligence. We really believe that the next generation of collective intelligence is about creating systems of experts not expert systems.

Business 2.0 and BusinessWeek Articles About Radar Networks

It's been an interesting month for news about Radar Networks. Two significant articles came out recently:

Business 2.0 Magazine published a feature article about Radar Networks in their July 2007 issue. This article is perhaps the most comprehensive article to-date about what we are working on at Radar Networks, it's also one of the better articulations of the value proposition of the Semantic Web in general. It's a fun read, with gorgeous illustrations, and I highly recommend reading it.

BusinessWeek  posted an article about Radar Networks on the Web. The article covers some of the background that led to my interests in collective intelligence and the creation of the company. It's a good article and covers some of the bigger issues related to the Semantic Web as a paradigm shift. I would add one or two points of clarification in addition to what was stated in the article: Radar Networks is not relying solely on software to organize the Internet -- in fact, the service we will be launching combines human intelligence and machine intelligence to start making sense of information, and helping people search and collaborate around interests more productively. One other minor point related to the article -- it mentions the story of EarthWeb, the Internet company that I co-founded in the early 1990's: EarthWeb's content business actually was sold after the bubble burst, and the remaining lines of business were taken private under the name Dice.com. Dice is the leading job board for techies and was one of our properties. Dice has been highly profitable all along and recently filed for a $100M IPO.

Jim Wissner's Latest Semantic Web Creation Rocks

I met today with Jim Wissner, Chief Architect and co-founder of my company, Radar Networks. Jim started the company along with me and Kris Thorisson several years ago when we were just a few guys doing futuristic R&D. Jim has been working for a few months on a "secret project" in his spare time, and today I finally got to see it.

I have been hearing rumors of Jim's secret project from some of the other guys on the team for weeks -- but whenever I asked Jim about it he would just get a gleam in his eye and say something like, "Wellllll yeah, I've been thinking about something interesting... but there's nothing to show yet..." Anyway, I've known Jim long enough to know that whenever he's coy about some "something interesting" it is probably going to be something pretty damn impressive. So I didn't bug him too much -- I just figured when it was time he would show me.

Today Jim started out by saying he hoped he hadn't set my expectations too high. So I automatically assumed it was just going to be some little widget. But as soon as I saw it I realized that he has built something really MAJOR. In fact, I'm kind of in awe that one developer -- even a developer as good as Jim -- could have done it all himself in just a few months of hacking. He really outdid himself this time.

Jim has built something that I think could become a cornerstone of the coming Semantic Web infrastructure. It's something that he has been dreaming about for a couple of years -- but I never imagined that he would actually find time to build it. As Jim put it today, "Well I finally just decided, since I've been talking about this for years, I should just go ahead and build it. It's a lot easier to understand when you see it working."

So what has Jim built? I can't say what it is yet, but suffice to say it's something that I think every developer involved in the semantic web space is going to benefit from. It's definitely more of a developer oriented thing -- but something that could catalyze a lot of new innovation, growth and collaboration.

After Jim's demo I met with Chris and Lew (who were equally impressed and had seen it earlier during technical discussions with Jim) and we began to discuss the timeline for releasing what Jim has made. We all think it will be a big piece of what we roll out when we go beta. So those of you who are curious -- you won't have to wait that long (but be sure to sign up for our mailing list on the Radar Networks site so you get notified of the closed beta).

I haven't blogged much about Jim's contribution to the company yet, but for those who don't know, he singlehandedly built several  iterations of our platform. He is a huge part of the DNA of our company but I haven't acknowledged his contributions in public enough. Partly that's because he's our secret weapon, and partly that's because he tends to prefer to avoid any sort of hype -- so he's been patiently waiting until we launch before speaking publicly about what he's built.

Jim is a true semantic web "guru" -- as well as inventing our platform, he was also the chief architect for our work on the DARPA CALO program. Jim is a big piece of what Radar Networks is, and in the future, as we begin to roll out our platform I think people in the Semantic Web development community are going to be extremely interested in what he has built.

As Jim would be the first to point out: we've got a lot of other great talent in our company and they have all made enormous contributions to various aspects of what we're doing. It's not just him. To do something as broad as what we're building requires a great engineering team, and several great architects, not just one person. That's true. But it's also fair to say that Jim started our engineering team and has been quietly laying the foundations for several years and without his leadership it would never have happened.

So this post is a special thank you to Jim. We couldn't have done what we're doing without him and I feel extremely grateful that he joined me in co-founding this back in our New York days before we moved to San Francisco. This post is in recognition of the truly impressive work Jim's been doing.

As we begin to roll out our platform, Jim (and our other developers) will begin to blog and speak more publicly about our platform. I do think other folks working in the semantic web area, or writing about it, will find what they have built to be quite interesting, comprehensive, and useful.

OK well I've said enough. Jim is probably going to be somewhat horrified by such high praise. But it's well deserved and long overdue.

Scoble Gets the Semantic Web

Robert Scoble spent 2 hours with us looking at our app yesterday. We had a great conversation and he had many terrific ideas and suggestions for us. We are still in stealth, so we asked him to agree not say much about what we showed him yet. He blogged a very nice post about us today, providing a few hints.

Listen to this Discussion on the Future of the Web

If you are interested in the future of the Web, you might enjoy listening to this interview with me, moderated by Dr. Paul Miller of Talis. We discuss, in-depth: the Semantic Web, Web 3.0, SPARQL, collective intelligence, knowledge management, the future of search, triplestores, and Radar Networks.

Excellent Overview of Benefits of RDF and SPARQL

This article on XML.com is a very good summary of the benefits of RDF and SPARQL -- two of the key technologies of the emerging Semantic Web.

Metaweb and Radar Networks

This is just a brief post because I am actually slammed with VC meetings right now. But I wanted to congratulate our friends at Metaweb for their pre-launch announcement. My company, Radar Networks, is the only other major venture-funded play working on the Semantic Web for consumers so we are thrilled to see more action in this sector.

Metaweb and Radar Networks are working on two very different applications (fortunately!). Metaweb is essentially making the Wikipedia of the Semantic Web. Here at Radar Networks we are making something else -- but equally big -- and in a different category. Just as Metaweb is making a semantic analogue to something that exists and is big, so are we: but we're more focused on the social web -- we're building something that everyone will use. But we are still in stealth so that's all I can say for now.

This is now an exciting two-horse space. We look forward to others joining the excitement too. Web 3.0 is really taking off this year.

An interesting side note: Danny Hillis (founder of Metaweb), myself (founder of Radar Networks) and Lew Tucker (CTO of Radar Networks) all worked together at Thinking Machines (an early AI massively parallel computer company). It's fascinating that we've all somehow come to think that the only practical way to move machine intelligence forward is by having us humans and applications start to employ real semantics in what we record in the digital world.

Is it Only Wednesday?

Is it only Wednesday? It feels like a whole week already! I've been in back-to-back VC meetings, board discussions and strategy meetings since last week. I think this must be related to the heating-up of the "Web 3.0" meme and the semantic sector in general. Perhaps it is also due to the coverage we got in the Guidewire Report and newsletter which went out to everyone who went to DEMO, and also perhaps because of some influential people in the biz have been talking about us. We've been very careful not to show our app to anyone because it does some things that are really new. We don't want to spread that around (yet). Anyway it's been pretty busy -- not just for me, but for the whole team. Everyone is on full afterburners right now.

By the way -- I'm really proud or product team (hope you guys are reading this)-- the team has made an alpha that is not only a breakthrough on the technical level, but it also looks incredibly good too. Some of the select few who have seen our app so far have said, "the app looks beautiful" and "wow, that's amazing" etc. We've done some cool things with NLP, graph analysis, and statistics under the hood. And the GUI is also very slick. Probably the best team I've worked with.

If you are interested in helping to beta-test the consumer Semantic Web, We're planning on doing invite-only beta trials this summer -- sign up at our website to be on our beta invite list.

Breaking the Collective IQ Barrier -- Making Groups Smarter

I've been thinking since 1994 about how to get past a fundamental barrier to human social progress, which I call "The Collective IQ Barrier." Most recently I have been approaching this challenge in the products we are developing at my stealth venture, Radar Networks.

In a nutshell, here is how I define this barrier:

The Collective IQ Barrier: The potential collective intelligence of a human group is exponentially proportional to group size, however in practice the actual collective intelligence that is achieved by a group is inversely proportional to group size. There is a huge delta between potential collective intelligence and actual collective intelligence in practice. In other words, when it comes to collective intelligence, the whole has the potential to be smarter than the sum of its parts, but in practice it is usually dumber.

Why does this barrier exist? Why are groups generally so bad at tapping the full potential of their collective intelligence? Why is it that smaller groups are so much better than large groups at innovation, decision-making, learning, problem solving, implementing solutions, and harnessing collective knowledge and intelligence? 

I think the problem is technological, not social, at its core. In this article I will discuss the problem in more depth and then I will discuss why I think the Semantic Web may be the critical enabling technology for breaking through the Collective IQ Barrier.

Doing for Data What HTML Did for Documents

I've been saying for quite some time that the first thing the Semantic Web will accomplish is "doing for data what HTML did for documents." HTML made it possible for everyone to publish, access and connect documents on the Internet. RDF and OWL -- the languages of the Semantic Web -- make it possible to do the same thing for data records -- structured fragments or collections of data. Today data records exist in a variety of non-integrated formats and standards. RDF and OWL provide a common language for publishing, accessing and linking data around the Web.

Tim Berners-Lee recently gave Congressional testimony on the future of the Web where he explained this as well:

“Digital information about nearly every aspect of our lives is being created at an astonishing rate. Locked within all of this data is the key to knowledge about how to cure diseases, create business value, and govern our world more effectively. The good news is that a number of technical innovations (RDF which is to data what HTML is to documents, and the Web Ontology Language (OWL) which allows us to express how data sources connect together) along with more openness in information sharing practices are moving the World Wide Web toward what we call the Semantic Web. … The Semantic Web will enable better data integration by allowing everyone who puts individual items of data on the Web to link them with other pieces of data using standard formats.”

This first stage of evolution of the Semantic Web can be called the "data web" - a Web of connected data. Once this is in place and lots of RDF and OWL data records exist, and can be queried via SPARQL interfaces by any application, the Web will start to actually function like a giant globally distributed database.  This in turn will enable a new era of Web applications that understand the structure and interconnections of data around the Web. For example a search engine that could search for different kinds of product listings across many different sites that publish RDF/OWL data for their product records.

Today such a data-aware search engine is hard to make -- each new site that is searched has to be integrated with in a completely custom way. This is sometimes referred to as the challenge of doing "deep Web search." To solve this problem, if product listings of various types were at least mapped to a common ontology (or even a set of ontologies) this would make integration of disparate data types about products easier. By making it easier to operate across data around the Web, data-aware applications can  be made to do more sophisticated things with less effort, and they in turn will produce more data for the data-web in a virtuous-cycle. That is the first step. After this we can then begin to make smart applications that help to filter, make sense of, track, suggest, organize, data and assist users. First we have to have rich data -- the data-web -- then we can move to smart applications from there.

Capturing Your Digital Life

Nice article in Scientific American about Gordon Bell's work at Microsoft Research on the MyLifeBits project. MyLifeBits provides one perspective on the not-too-far-off future in which all our information, and even some of our memories and experiences, are recorded and made available to us (and possibly to others) for posterity. This is a good application of the Semantic Web -- additional semantics within the dataset would provide many more dimensions to visualize, explore and search within, which would help to make the content more accessible and grokkable.

Intelligence is in the Connections

Google's Larry Page recently gave a talk to the AAAS about how Google is looking towards a future in which they hope to implement AI on a massive scale. Larry's idea is that intelligence is a function of massive computation, not of "fancy whiteboard algorithms." In other words, in his conception the brain doesn't do anything very sophisticated, it just does a lot of massively parallel number crunching. Each processor and its program is relatively "dumb" but from the combined power of all of them working together "intelligent" behaviors emerge.

Larry's view is, in my opinion, an oversimplification that will not lead to actual AI. It's certainly correct that some activities that we call "intelligent" can be reduced to massively parallel simple array operations. Neural networks have shown that this is possible -- they excel at low level tasks like pattern learning and pattern recognition for example. But neural networks have not proved capable of higher level cognitive tasks like mathematical logic, planning, or reasoning. Neural nets are theoretically computationally equivalent to Turing Machines, but nobody (to my knowledge) has ever succeeded in building a neural net that can in practice even do what a typical PC can do today -- which is still a long way short of true AI!

Somehow our brains are capable of basic computation, pattern detection and learning, simple reasoning, and advanced cognitive processes like innovation and creativity, and more. I don't think that this richness is reducible to massively parallel supercomputing, or even a vast neural net architecture. The software -- the higher level cognitive algorithms and heuristics that the brain "runs" -- also matter. Some of these may be hard-coded into the brain itself, while others may evolve by trial-and-error, or be programmed or taught to it socially through the process of education (which takes many years at the least).

Larry's view is attractive but decades of neuroscience and cognitive science have shown conclusively that the brain is not nearly as simple as we would like it to be. In fact the human brain is far more sophisticated than any computer we know of today, even though we can think of it in simple terms. It's a highly sophisticated system comprised of simple parts -- and actually, the jury is still out on exactly how simple the parts really are -- much of the computation in the brain may be sub-neuronal, meaning that the brain may actually a much much more complex system than we think.

Perhaps the Web as a whole is the closest analogue we have today for the brain -- with millions of nodes and connections. But today the Web is still quite a bit smaller and simpler than a human brain. The brain is also highly decentralized and it is doubtful than any centralized service could truly match its capabilities. We're not talking about a few hundred thousand linux boxes -- we're talking about hundreds of billions of parallel distributed computing elements to model all the neurons in a brain, and this number gets into the trillions if we want to model all the connections. The Web is not this big, and neither is Google.

Web 3.0 Roundup: Radar Networks, Powerset, Metaweb and Others...

It's been a while since I posted about what my stealth venture, Radar Networks, is working on. Lately I've been seeing growing buzz in the industry around the "semantics" meme -- for example at the recent DEMO conference, several companies used the word "semantics" in their pitches. And of course there have been some fundings in this area in the last year, including Radar Networks and other companies.

Clearly the "semantic" sector is starting to heat up. As a result, I've been getting a lot of questions from reporters and VC's about how what we are doing compares to other companies such as for example, Powerset, Textdigger, and Metaweb. There was even a rumor that we had already closed our series B round! (That rumor is not true; in fact the round hasn't started yet, although I am getting very strong VC interest and we will start the round pretty soon).

In light of all this I thought it might be helpful to clarify what we are doing, how we understand what other leading players in this space are doing, and how we look at this sector.

Indexing the Decades of the Web

First of all, before we get started, there is one thing to clear up. The Semantic Web is part of what is being called "Web 3.0" by some, but it is in my opinion really just one of several converging technologies and trends that will define this coming era of the Web. I've written here about a proposed definition of Web 3.0, in more detail.

For those of you who don't like terms like Web 2.0, and Web 3.0, I also want to mention that  I agree --- we all want to avoid a rapid series of such labels or an arms-race of companies claiming to be > x.0. So I have a practical proposal: Let's use these terms to index decades since the Web began. This is objective -- we can all agree on when decades begin and end, and if we look at history each decade is characterized by various trends. 

I think this is reasonable proposal and actually useful (and also avoids endless new x.0's being announced every year). Web 1.0 was therefore the first decade of the Web: 1990 - 2000. Web 2.0 is the second decade, 2000 - 2010. Web 3.0 is the coming third decade, 2010 - 2020 and so on. Each of these decades is (or will be) characterized by particular technology movements, themes and trends, and these indices, 1.0, 2.0, etc. are just a convenient way of referencing them. This is a useful way to discuss history, and it's not without precedent. For example, various dynasties and historical periods are also given names and this provides shorthand way of referring to those periods and their unique flavors. To see my timeline of these decades, click here.

So with that said, what is Radar Networks actually working on? First of all, Radar Networks is still in stealth, although we are planning to go beta in 2007. Until we get closer to launch what I can say without an NDA is still limited. But at least I can give some helpful hints for those who are interested. This article provides some hints, as well as what I hope is a helpful tutorial about natural language search and the Semantic Web, and how they differ. I'll also discuss how Radar Networks compares some of the key startup ventures working with semantics in various ways today (there are many other companies in this sector -- if you know of any interesting ones, please let me know in the comments; I'm starting to compile a list).

 

(click the link below to keep reading the rest of this article...)

Wow! Watch this Multi-Touch UI Demo Video

If you are interested on what computer user-interfaces are going to feel like in the future -- you must see this video of a demo of a new multi-touch computer monitor. This is amazing technology -- and the various demos themselves are interactive artworks in their own right. For more information about the researchers and projects behind this, click here. I want one of these NOW!

How the WebOS Evolves?

Here is my timeline of the past, present and future of the Web. Feel free to put this meme on your own site, but please link back to the master image at this site (the URL that the thumbnail below points to) because I'll be updating the image from time to time.

This slide illustrates my current thinking here at Radar Networks about where the Web (and we) are heading. It shows a timeline of technology leading from the prehistoric desktop era to the possible future of the WebOS...

Note that as well as mapping a possible future of the Web, here I am also proposing that the Web x.0 terminology be used to index the decades of the Web since 1990. Thus we are now in the tail end of Web 2.0 and are starting to lay the groundwork for Web 3.0, which fully arrives in 2010.

This makes sense to me. Web 2.0 was really about upgrading the "front-end" and user-experience of the Web. Much of the innovation taking place today is about starting to upgrade the "backend" of the Web and I think that will be the focus of Web 3.0 (the front-end will probably not be that different from Web 2.0, but the underlying technologies will advance significantly enabling new capabilities and features).

See also: This article I wrote redefining what the term "Web 3.0" means.

See also: A Visual Graph of the Future of Productivity

Please note: This is a work in progress and is not perfect yet. I've been tweaking the positions to get the technologies and dates right. Part of the challenge is fitting the text into the available spaces. If anyone out there has suggestions regarding where I've placed things on the timeline, or if I've left anything out that should be there, please let me know in the comments on this post and I'll try to readjust and update the image from time to time. If you would like to produce a better version of this image, please do so and send it to me for inclusion here, with the same Creative Commons license, ideally.

The Semantic Web is About Helping People Use the Web More Productively

I've been reading some of the further posts on various blogs in reaction to the Markoff article in the New York Times last Sunday. There is a tremendous amount of misconception about the Semantic Web-- as evidenced for example by Ross Mayfield's post recently. Ross implied that the Semantic Web is about automating the Web, rather than facilitating people. This is a misconception that others have taken to even further extremes -- some people have characterized it as an effort to replace humans, replace social networks and social software, etc. etc. That is simply NOT at all correct! Quite the opposite in fact.

The Semantic Web is just a way to augment and improve the EXISTING Web and all the existing relationships, groups, communities, social networks, user-experiences, apps, content, and online services on it. It doesn't replace the Web we have, it just makes it smarter. It doesn't replace human intelligence and decision-making, it just augments human thinking, so that individuals and groups can overcome the growing complexity of information overload on the Web.

Article about the Semantic Web by Dan Farber

ZDnet's Dan Farber, just blogged about the Semantic Web meme --

Dan says:

Back to Web 3.0. There will be one, and it has been associated at this point with concepts of the semantic Web, derived from the primordial soup of Web technologies. It's been a focus of attention for Tim Berners-Lee, who cooked up much of what the Internet is today, for a nearly a decade.

I would tend to agree, there WILL be a new generation of the Web, regardless of what we call it. And in fact, it's already gestating as we speak.

What is the Semantic Web, Actually?

I've read several blog posts reacting to John Markoff's article today. There seem to be some misconceptions in those posts about what the Semantic Web is and is not. Here I will try to  succinctly correct a few of the larger misconceptions I've run into:

• The Semantic Web is not just a single Web. There won't be one Semantic Web, there will be thousands or even millions of them, each in their own area. They will all be part of one Semantic Web in that they will use the same open-standard languages and their data will be universally accessible, but they won't all be run by any single company. They will connect together over time, forming a tapestry. But nobody will own this or run this as a single service. It will be just as decentralized as the Web already is.
• The Semantic Web is not separate from the existing Web. The Semantic Web won't be a new Web apart from the Web we already have. It simply adds new metadata and data to the existing Web. It merges right into the existing HTML Web just like XML does, except this new metadata is in RDF (since RDF can in fact be expressed in XML).
  
• The Semantic Web is not just about unstructured data. In fact, the Semantic Web is really about structured data: it provides a means (RDF) to turn any content or data into structured data that other software can make use of. This is really what RDF enables.
• The Semantic Web does not require complex ontologies. Even without making use of OWL and more sophisticated ontologies, powerful data-sharing and data-integration can be enabled on the existing Web using even just RDF alone.
• The Semantic Web does not only exist on Web pages. RDF works inside of applications and databases, not just on Web pages. Calling it a "Web" is a misnomer of sorts -- it's not just about the Web, it's about all information, data and applications.
• The Semantic Web is not only about AI, and doesn't require it. There are huge benefits from the Semantic Web without ever using a single line of artificial intelligence code. While the next-generation of AI will certainly be enabled by richer semantics, AI is not the only benefit of RDF. Making data available in RDF makes it more accessible, integratable, and reusable -- regardless of any AI. The long-term future of the Semantic Web is AI for sure -- but to get immediate benefits from RDF no AI is necessary.
• The Semantic Web is not only about mining, search engines and spidering. Application developers and content providers, and end-users, can benefit from using the Semantic Web (RDF) within their own services, regardless of whether they expose that RDF metadata to outside parties. RDF is useful without doing any data-mining -- it can be baked right into content within authoring tools and created transparently when information is published. RDF makes content more manageable and frees developers and content providers from having to look at relational data models. It also gives end-users better ways to collect and manage content they find.
• The Semantic Web is not just research. It's already in use and starting to reach the market. The government uses it of course. But also so do companies like Adobe, and more recently Yahoo (Yahoo Food has started to use some Semantic Web technologies now). And one flavor of RSS is defined with RDF. Oracle has released native RDF support in their products. The list goes on...

Learning more:

• To learn about the technology of RDF, I recommend this terrific presentation by my friend Ian Davis.
• This is my long-term outlook for the Web and the Semantic Web.
• PlanetRDF is a good feed to read if you want to keep up with what's going on in this field.
• My own company, Radar Networks, is working on bringing the Semantic Web to the masses. You can sign up for our launch list at our site to be notified of future announcements.

New York Times Article About the Emerging Semantic Web

A New York Times article came out today about the Semantic Web -- in which I was quoted, speaking about my company Radar Networks. Here's an excerpt:

Referred to as Web 3.0, the effort is in its infancy, and the very idea has given rise to skeptics who have called it an unobtainable vision. But the underlying technologies are rapidly gaining adherents, at big companies like I.B.M. and  Google as well as small ones. Their projects often center on simple, practical uses, from producing vacation recommendations to predicting the next hit song.

But in the future, more powerful systems could act as personal advisers in areas as diverse as financial planning, with an intelligent system mapping out a retirement plan for a couple, for instance, or educational consulting, with the Web helping a high school student identify the right college.

The projects aimed at creating Web 3.0 all take advantage of increasingly powerful computers that can quickly and completely scour the Web.

“I call it the World Wide Database,” said Nova Spivack, the founder of a start-up firm whose technology detects relationships between nuggets of information mining the World Wide Web. “We are going from a Web of connected documents to a Web of connected data.”

Web 2.0, which describes the ability to seamlessly connect applications (like geographical mapping) and services (like photo-sharing) over the Internet, has in recent months become the focus of dot-com-style hype in Silicon Valley. But commercial interest in Web 3.0 — or the “semantic Web,” for the idea of adding meaning — is only now emerging.

Danny and Henry Respond

Danny Ayers and Henry Story both posted thoughtful replies to my Meaning and Future of the Semantic Web essay. A few comments to their points below...

Minding The Planet -- The Meaning and Future of the Semantic Web

NOTES

• Master Copy can be found at this URL or http://tinyurl.com/yynb93
• Last Update: Tuesday, November 7, 2006, 10:17AM PST
  
• License -- This article is distributed under the Creative Commons Deed.  If you would like to distribute a version of this article, please link back to http://www.mindingtheplanet.net from your version, thanks.
• Printable version -- Click here to download the printable PDF version of this article
• Illustrated Version -- See the version by the Lifeboat Foundation

 

Prelude

Many years ago, in the late 1980s, while I was still a college student, I visited my late grandfather, Peter F. Drucker, at his home in Claremont, California. He lived near the campus of Claremont College where he was a professor emeritus. On that particular day, I handed him a manuscript of a book I was trying to write, entitled, "Minding the Planet" about how the Internet would enable the evolution of higher forms of collective intelligence.

My grandfather read my manuscript and later that afternoon we sat together on the outside back porch and he said to me, "One thing is certain: Someday, you will write this book." We both knew that the manuscript I had handed him was not that book, a fact that was later verified when I tried to get it published. I gave up for a while and focused on college, where I was studying philosophy with a focus on artificial intelligence. And soon I started working in the fields of artificial intelligence and supercomputing at companies like Kurzweil, Thinking Machines, and Individual.

A few years later, I co-founded one of the early Web companies, EarthWeb, where among other things we built many of the first large commercial Websites and later helped to pioneer Java by creating several large knowledge-sharing communities for software developers. Along the way I continued to think about collective intelligence. EarthWeb and the first wave of the Web came and went. But this interest and vision continued to grow. In 2000 I started researching the necessary technologies to begin building a more intelligent Web. And eventually that led me to start my present company, Radar Networks, where we are now focused on enabling the next-generation of collective intelligence on the Web, using the new technologies of the Semantic Web. 

But ever since that day on the porch with my grandfather, I remembered what he said: "Someday, you will write this book." I've tried many times since then to write it. But it never came out the way I had hoped. So I tried again. Eventually I let go of the book form and created this weblog instead. And as many of my readers know, I've continued to write here about my observations and evolving understanding of this idea over the years. This article is my latest installment, and I think it's the first one that meets my own standards for what I really wanted to communicate. And so I dedicate this article to my grandfather, who inspired me to keep writing this, and who gave me his prediction that I would one day complete it.

This is an article about a new generation of technology that is sometimes called the Semantic Web, and which could also be called the Intelligent Web, or the global mind. But what is the Semantic Web, and why does it matter, and how does it enable collective intelligence? And where is this all headed? And what is the long-term far future going to be like? Is the global mind just science-fiction? Will a world that has a global mind be good place to live in, or will it be some kind of technological nightmare?

Hassleware -- A New Strategy To Make Users Not Close Your Software

This post is not to be taken too seriously. I'm not actually advocating for the strategy outlined below. Just pointing out that it is taking place already, at least in iTunes.

One thing I've noticed about iTunes on Windows XP is that it is a massive resource hog -- especially when starting the application, but even worse, when exiting it. It typically takes several minutes for iTunes to quit, and during this process there are several moments where my machine freezes up because all resources are being used by iTunes. I like iTunes as a product -- don't get me wrong -- but it is the most impolite app in my system. No other app freezes my computer just to shut down.

My computer has a 2.1 gigaherz processor and more than 2 gigs of RAM, and lots of availale disk space, so it's not due to scarce resources. It's simply iTunes. The hassle factor of starting and shutting iTunes is in fact such an annoyance that I have resorted to just leaving it running in the background most of the time. In thinking about this it occurred to me that -- perhaps unwittingly -- Apple has come up with a clever way to make me keep their software open all the time. It's just too painful to close iTunes, so I leave it running.