Content Aggregation on Knowledge Bases using Graph Clustering
C. Schmitz, A. Hotho, R. Jäschke, und G. Stumme. The Semantic Web: Research and Applications, Volume 4011 von LNAI, Seite 530-544. Heidelberg, Springer, (2006)
Zusammenfassung
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.
