The power of connections: if you know my favorites sites and favorite people, you can build a heat map of my web, and predict the things I'm most likely to respond to with real attention. But this requires a web that's a relational database, and not a col
"Many people have told me this week that they think 'Web 2.0' has not been very impressive so far and that they really hope for a next-generation of the Web with some more significant innovation under the hood -- regardless of what it's called. A lot of p
This post is part contribution to the general Web 3.0 / Data-Web / Semantic Web discourse, and part experiment / demonstration of the Data Web. I came across a pretty deep comments trail about the aforementioned items on Fred Wilson's blog (aptly title
WebMind is a Java-based software system which evolves its own "digital intuition," and using this intuition, poses and answers questions regarding information...freely making generalizations spanning different types of data.
Microformats: Recognizing the complexity of RDF and OWL, the goal of microformats is to embed basic semantics (meaningful relationships) right into HTML pages. It is not as expressive right now as RDF and OWL, but it's compact & and uses at-hand XHTML. A
• standards and interoperability between platforms • user experience and retention • technological barriers to entry • technological limitations (avatars per sim, etc.) • building community • setting societal standards • creating susta
Microformats: Recognizing the complexity of RDF and OWL, the goal of microformats is to embed basic semantics (meaningful relationships) right into HTML pages. It is not as expressive right now as RDF and OWL, but it's compact & and uses at-hand XHTML. A
"The idea is to help computers become learning machines, not just pattern matchers and calculators"..."This is the first non-sarcastic reference to Web 3.0 I’ve seen in the wild”
Information vs Knowledge To a machine, knowledge is comprehended information (aka new information produced through the application of deductive reasoning to exiting information). To a machine, information is only data, until it is processed and compr
Machines (or machine-based reasoning, aka 'AI software' or ‘info agents’) would then be able to use those laboriously –but not entirely manually– constructed ontologies to build a view (or formal model) of how the individual terms within the infor
C. Herzog, M. Luger, and M. Herzog. Proceedings of the ESWC'07 workshop \"Bridging the Gap between Semantic Web and Web 2.0\", Innsbruck, Austria, (June 2007)