%0 Conference Paper
%1 schmitz2006content
%A Schmitz, Christoph
%A Hotho, Andreas
%A Jäschke, Robert
%A Stumme, Gerd
%B The Semantic Web: Research and Applications
%C Heidelberg
%D 2006
%E Sure, York
%E Domingue, John
%I Springer
%K 2006 aggregation clustering content graph itegpub l3s myown nepomuk ontologies ontology seminar2006 theory
%P 530-544
%T Content Aggregation on Knowledge Bases using Graph Clustering
%U http://www.kde.cs.uni-kassel.de/stumme/papers/2006/schmitz2006content.pdf
%V 4011
%X 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.