Content Aggregation on Knowledge Bases Using Graph Clustering

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.

• Type: Conference
• Year: 2006
• Where: ESWS
• Authors: Christoph Schmitz, Andreas Hotho, Robert Jäschke, Gerd Stumme
• Keywords: Brief Semantic Descriptions, ESWS 2006, Graph Clustering Technique, Internet Technology, Peer-to-peer Knowledge Management