Semantic Web Dog Food

Presented at: 6th International and 2nd Asian Semantic Web Conference (ISWC2007+ASWC2007)

by Jie Tang

This paper addresses the issue of expertise object search. In Semantic Web, information is described as concepts and relations between the concepts. Previous document-level information search can unfortunately lead to highly inaccurate results in answering semantic-oriented queries. Previous work on semantic search is targeted at finding the most relevant objects. In this paper, we investigate several models for expertise object search, namely local language model, propagation based model, and a unified model.

Expertise Object Search was presented at this event.

Resource URI on the dog food server: http://data.semanticweb.org/conference/iswc-aswc/2007/tracks/posters-demos/papers/375
Same as: http://revyu.com/things/iswc-aswc-2007-posters-demos-paper-375-expertise-object

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