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SDArch - Semantic Document Architecture is our atempt to bring the vision of the Semantic Web to desktop office-like documents. SDArch aims at enabling desktop document data to be efficiently discovered, linked and shared across application, enterprise and community boundaries. It introduces 'semantic documents' as completely open and queryable resources, containing data which is uniquely identified, semantically annotated and understandable by both humans and software agents.

This document is designed as being a simple but comprehensive introductory publication for anybody trying to get into the Semantic Web: from beginners through to long time hackers. Recommended pre-reading: the Semantic Web in Breadth.

And I'm saying the semantic web won't work. Can't work.

Ah… the semantic web. The saviour of the internet, and the evil empire enforcing its evil standardization upon my freedom. I've always been a little suspicious of this particular topic. Not that I'm opposed to any kind of stardardization, railroads and the lack of standardizations with bank cards at grocery stores come to mind (grrr…) But the semantic web and how data is 'linked' is pretty important to analytics. time to dive in.

The father of the World Wide Web, Tim Berners-Lee defines the Semantic Web as "a web of data that can be processed directly and indirectly by machines."

Presentation slides from the January 25 session with Dragan Gasevic

A short introduction to the semantic web

The comments to the video are also interesting.

DBpedia is a community effort to extract structured information from Wikipedia and to make this information available on the Web. DBpedia allows you to ask sophisticated queries against Wikipedia, and to link other data sets on the Web to Wikipedia data.

"there is greater inter-disciplinary discussion occurring in analytics than what is generally found in an established domain". A key motivator for my interest. Co-operation is a must.