Expertise-based peer selection in Peer-to-Peer networks

Peter Haase, Ronny Siebes*, Frank van Harmelen

*Corresponding author for this work

Research output: Contribution to JournalArticleAcademicpeer-review

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Peer-to-Peer systems have proven to be an effective way of sharing data. Modern protocols are able to efficiently route a message to a given peer. However, determining the destination peer in the first place is not always trivial. We propose a model in which peers advertise their expertise in the Peer-to-Peer network. The knowledge about the expertise of other peers forms a semantic topology. Based on the semantic similarity between the subject of a query and the expertise of other peers, a peer can select appropriate peers to forward queries to, instead of broadcasting the query or sending it to a random set of peers. To calculate our semantic similarity measure, we make the simplifying assumption that the peers share the same ontology. We evaluate the model in a bibliographic scenario, where peers share bibliographic descriptions of publications among each other. In simulation experiments complemented with a real-world field experiment, we show how expertise-based peer selection improves the performance of a Peer-to-Peer system with respect to precision, recall and the number of messages.

Original languageEnglish
Pages (from-to)75-107
Number of pages33
JournalKnowledge and Information Systems
Issue number1
Publication statusPublished - Apr 2008


  • Ontologies
  • P2P
  • Routing
  • Semantic overlays


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