Presented at: 6th International and 2nd Asian Semantic Web Conference (ISWC2007+ASWC2007)
For relevance ranking in Web search, heterogeneous semantic information such as thesauruses, semantic markups and social annotations have been adopted respectively. As utilization of semantics are key to semantic search, to integrate more semantics would logically generate better search results in respect of semantic relevance. However, such integrated semantic search mechanism is still in absence and to be developed. This paper proposes a statistical approach to integrate both keywords and heterogeneous semantics for semantic search.
A Statistical Approach for Semantic Search using Heterogenous Semantics on the Web was presented at this event.
Resource URI on the dog food server: http://data.semanticweb.org/conference/iswc-aswc/2007/tracks/posters-demos/papers/374
Same as: http://revyu.com/things/iswc-aswc-2007-posters-demos-paper-374-a-statistical
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