Peer Selection in Peer-to-Peer Networks with Semantic Topologies

Peter Haase, Ronny Siebes, Frank van Harmelen

Research output: Chapter in Book / Report / Conference proceedingChapterAcademicpeer-review


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.\nWe 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.
Original languageEnglish
Title of host publicationProceedings of the International Conference on Semantics in a Networked World ({ICNSW'04})
Number of pages18
Publication statusPublished - 2004

Publication series

NameProceedings of the International Conference on Semantics in a Networked World ({ICNSW'04})


Dive into the research topics of 'Peer Selection in Peer-to-Peer Networks with Semantic Topologies'. Together they form a unique fingerprint.

Cite this