%0 
%0 Conference Proceedings
%A Schmitz, Christoph; Hotho, Andreas; Jäschke, Robert & Stumme, Gerd
%D 2006
%T Content Aggregation on Knowledge Bases using Graph Clustering
%E Sure, York & Domingue, John
%B The Semantic Web: Research and Applications
%C Heidelberg
%I Springer
%V 4011
%6
%N 
%P 530-544
%& 
%Y 
%S LNAI
%7
%8 
%9
%? 
%! 
%Z 
%@ 
%(
%)
%*
%L
%M
%1 
%2 
%3 inproceedings
%4 
%# 
%$ 
%F schmitz2006content
%K 2006, aggregation, clustering, content, graph, itegpub, l3s, myown, nepomuk, ontologies, ontology, seminar2006, theory
%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.
%Z 
%U http://www.kde.cs.uni-kassel.de/stumme/papers/2006/schmitz2006content.pdf
%+
%^

%0 
%0 Conference Proceedings
%A Schmitz, Christoph; Hotho, Andreas; J\"aschke, Robert & Stumme, Gerd
%D 2006
%T Content Aggregation on Knowledge Bases using Graph Clustering
%E 
%B Proceedings of the 3rd European Semantic Web Conference
%C Budva, Montenegro
%I Springer
%V 4011
%6
%N 
%P 530-544
%& 
%Y 
%S LNCS
%7
%8 June
%9
%? 
%! 
%Z 
%@ 3-540-34544-2
%(
%)
%*
%L
%M
%1 
%2 
%3 inproceedings
%4 
%# 
%$ 
%F schmitz2006content
%K 2006, aggregation, clustering, content, graph, myown, ontology, theory
%X 
%Z 
%U http://www.kde.cs.uni-kassel.de/hotho/pub/2006/schmitz2006sumarize_eswc.pdf
%+
%^

%0 
%0 Conference Proceedings
%A Schmitz, Christoph; Hotho, Andreas; Jäschke, Robert & Stumme, Gerd
%D 2006
%T Content Aggregation on Knowledge Bases using Graph Clustering
%E Sure, York & Domingue, John
%B The Semantic Web: Research and Applications
%C Heidelberg
%I Springer
%V 4011
%6
%N 
%P 530-544
%& 
%Y 
%S LNAI
%7
%8 
%9
%? 
%! 
%Z 
%@ 
%(
%)
%*
%L
%M
%1 
%2 
%3 inproceedings
%4 
%# 
%$ 
%F schmitz2006content
%K 2006, aggregation, clustering, content, graph, itegpub, l3s, myown, nepomuk, ontologies, ontology, seminar2006, theory
%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.
%Z 
%U http://www.kde.cs.uni-kassel.de/stumme/papers/2006/schmitz2006content.pdf
%+
%^