@article{1849fcb892e14cb2aea6e787e31111ab,
  title     = "Expertise-based peer selection in Peer-to-Peer networks",
  abstract  = "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.",
  keywords  = "Ontologies, P2P, Routing, Semantic overlays",
  author    = "Peter Haase and Ronny Siebes and {van Harmelen}, Frank",
  year      = "2008",
  month     = "4",
  doi       = "10.1007/s10115-006-0055-1",
  volume    = "15",
  pages     = "75--107",
  journal   = "Knowledge and Information Systems",
  issn      = "0219-1377",
  publisher = "Springer London",
  number    = "1",
}

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