Another Word For It Patrick Durusau on Topic Maps and Semantic Diversity

April 23, 2012

“AI on the Web” 2012 – Saarbrücken, Germany

Filed under: Artificial Intelligence,Conferences,Heterogeneous Data — Patrick Durusau @ 5:59 pm

“AI on the Web” 2012 – Saarbrücken, Germany

Important Dates:

Deadline for Submission: July 5, 2012

Notification of Authors: August 14, 2012

Final Versions of Papers: August 28, 2012

Workshop: September 24/25, 2012

From the website:

The World Wide Web has become a unique source of knowledge on virtually any imaginable topic. It is continuously fed by companies, academia, and common people with a variety of information in numerous formats. By today, the Web has become an invaluable asset for research, learning, commerce, socializing, communication, and entertainment. Still, making full use of the knowledge contained on the Web is an ongoing challenge due to the special properties of the Web as an information source:

  • Heterogeneity: web data occurs in any kind of formats, languages, data structures and terminology one can imagine.
  • Decentrality: the Web is inherently decentralized which means that there is no central point of control that can ensure consistency or synchronicity.
  • Scale: the Web is huge and processing data at web scale is a major challenge in particular for knowledge‐intensive methods.

These characteristics make the Web a challenging but also a promising chance for AI methods that can help to make the knowledge on the Web more accessible for humans and machines by capturing, representing and using information semantics. The relevance and importance of AI methods for the Web is underlined by the fact that the AAAI – as one of the major AI conferences – has been featuring a special track “AI on the Web” for more than five years now. In line with this track and in order to stress this relevance within the German AI community, we are looking for work on relevant methods and their application to web data.

Look beyond the Web, to the larger world of information of the “deep” web or the even larger world of information, web or not, and what do you see?

Heterogeneity, Decentrality, Scale.

What we learn about AI for the Web may help us with larger information problems.

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