Semantic Web Dog Food

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

by Makoto Nakatsuji, Akimichi Tanaka, Toru Ishida

We propose an algorithm that mines blog entries to realize Semantic Web searches. It divides a graph, whose vertices are users and whose edges represent shared interests, into subgraphs - communities of interests (COIs). The algorithm allows users to identify new interests quickly and accurately. Our algorithm differs from conventional modularity-based approaches because it attaches semantic tags to the relationships between COIs or between users based on taxonomies of the content items of interest. We also introduce a mechanism to harmonize the number of users in each COI. Our two proposals raise the effectiveness of information searches.

Keywords: community extraction, community of interests, semantic-based graph search

Resource URI on the dog food server: http://data.semanticweb.org/conference/iswc/2008/paper/poster_demo/73

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