Peer selection in peer-to-peer networks with semantic topologies
| Autor: | Peter Haase, Ronny Siebes, Frank van Harmelen |
|---|---|
| Přispěvatelé: | Vrije Universiteit Amsterdam, Business Web and Media, Knowledge Representation and Reasoning, Artificial intelligence |
| Jazyk: | angličtina |
| Rok vydání: | 2004 |
| Zdroj: | Haase, P, Siebes, R & Van Harmelen, F 2004, ' Peer selection in peer-to-peer networks with semantic topologies ', Lecture Notes in Computer Science, vol. 3226, pp. 108-125 . Lecture Notes in Computer Science, 3226, 108-125. Springer Verlag Vrije Universiteit Amsterdam |
| ISSN: | 0302-9743 |
| Popis: | 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 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. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
|