BibliographyType,ISBN,Identifier,Author,Title,Journal,Volume,Number,Month,Pages,Year,Address,Note,URL,Booktitle,Chapter,Edition,Series,Editor,Publisher,ReportType,Howpublished,Institution,Organizations,School,Annote,Custom1,Custom2,Custom3,Custom4,Custom5 6,"","schmitz2006content","Schmitz, Christoph; Hotho, Andreas; Jäschke, Robert & Stumme, Gerd","Content Aggregation on Knowledge Bases using Graph Clustering","",4011,,"","530-544",2006,"Heidelberg","","http://www.kde.cs.uni-kassel.de/stumme/papers/2006/schmitz2006content.pdf","The Semantic Web: Research and Applications","","","LNAI","Sure, York & Domingue, John","Springer","","","","","","","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.","","2006, aggregation, clustering, content, graph, itegpub, l3s, myown, nepomuk, ontologies, ontology, seminar2006, theory","",""