Semantic Web Dog Food

Presented at: 3rd European Semantic Web Conference (ESWC2006)

by Christoph Schmitz, Andreas Hotho, Robert Jäschke, Gerd Stumme

Recently, research projects such as PADLR and SWAP have developed tools like Edutella or Bibster, which are targeted at establishing peer-to-peer knowledge management (P2PKM) systems. In such a system, it is necessary to obtain provide brief semantic descriptions of peers, so that routing algorithms or matchmaking processes can make decisions about which communities peers should belong to, or to which peers a given query should be forwarded. This paper provides a graph clustering technique on knowledge bases for that purpose. Using this clustering, we can show that our strategy requires up to 58% fewer queries than the baselines to yield full recall in a bibliographic P2PKM scenario.

Content Aggregation on Knowledge Bases using Graph Clustering was presented at this event.

Keywords: Personalization techniques, Web data extraction

Resource URI on the dog food server: http://data.semanticweb.org/conference/eswc/2006/paper/schmitz-hotho
Same as: http://www.eswc2006.org/full-papers/#schmitz-hotho

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