Semantic Web Dog Food

Presented at: 7th International Semantic Web Conference (ISWC2008)

by Konstantina Garoufi, Torsten Zesch, Iryna Gurevych

We present a graph-theoretic analysis of the topological structures underlying the collaborative knowledge bases Wikipedia and Wiktionary, which are promising uprising resources in Natural Language Processing. We contrastively compare them to a conventional linguistic knowledge base, and address the issue of how these Social Web knowledge repositories can be best exploited within the Social-Semantic Web.

Keywords: NLP, network analysis

Resource URI on the dog food server: http://data.semanticweb.org/conference/iswc/2008/paper/poster_demo/35

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