What I find in authoring this blog is that I am categorizing things around topics and that over time this will result in a virtual map of my mind (the part that I'm willing to share at least :^). But the problem right now is that I have to make the effort to create the topics. So at best the narrative structure I create is a shadow of the actual structure among the ideas that is already there. So what would be even better than what we've thought of so far would be a self-organizing blog/wiki. You just type stuff and it congeals around the main topics. Call it "Adaptive Navigation" -- The navigational structure changes to reflect what you are interested in and how those interests change over time.
This could even be personalized for each different reader so that there was a different adaptive navigational profile for each user that would adapt the interface to their unique interests. I'm not talking about content personalization here -- I'm talking about changing the graph structure of the site dynamically to best-reflect the paths that a given user is most likely to be interested in, given their previous surfing/reading behavior. I think what I'm hitting upon is that the concept of a fixed site structure is something that we could completely discard in favor of a more advanced notion of "total separation of content and structure."
In other words, let's start out with a collection of articles, but no links between them at all. Now the question is, for a particular user, how should those articles be organized and how should they be connected? For example, a directory interface might be completely different for me than for someone with different priorities and interests. Furthermore, the choice of which of the many possible links that could be shown to a user from any article to the rest of the corpus could also be dynamically made based on that user's interests.
Narrative structures are a subset of this idea -- they are just particular pre-built organizational and temporal schemas that someone makes. In a sense, every time someone navigates a collection of information, that is a narrative structure, whether they intend to create it or not. The key question is to what extent can computers figure out the "meaning" of that narrative structure, in order to help the user continue it to locations that they might not have otherwise found. Another question is to what extent can we learn from the narrative structures created by users as they author, edit and read content, in order to figure out what their interests are at any given time and thereby personalize and/or suggest content for them.