A new SW Use case just been published by Twine. Twine helps people track, discover, and share content around topics they are interested in. Twine enables users to track groups that collectively gather content from a wider array of external sources than they could keep up with on their own. Thus by tracking a single topic group in Twine, a user may effectively leverage the collective intelligence of perhaps thousands of other mutually-interested people who are collaborating to gather relevant content from all around the Web. Twine is based on top of a proprietary triple store based on RDF and OWL.
About Ivan Herman
Ivan Herman is the Semantic Web Activity Lead at W3C. He graduated as a mathematician at the Eötvös Loránd University of Budapest, Hungary, in 1979. After a brief scholarship at the Université Paris VI he joined the Hungarian research institute in computer science (SZTAKI) where he worked for 6 years. He left Hungary in 1986 and, after a few years in industry, he joined the Centre for Mathematics and Computer Sciences (CWI) in Amsterdam where he has held a tenure position since 1988. He received a PhD degree in Computer Science in 1990 at the Leiden University, in the Netherlands. Ivan joined the W3C team as Head of Offices in January 2001 while maintaining his position at CWI. He served as Head of Offices until June 2006, when he was asked to take the Semantic Web Activity Lead position.
