. Haase, P., Siebes, R., & van Harmelen , F. Peer Selection in Peer-to-Peer Networks with Semantic Topologies, pages 108–125. 2004. doi abstract bibtex 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.
@inbook{e22328f7b53b47eb93625bfeff139c61,
title = "Peer Selection in Peer-to-Peer Networks with Semantic Topologies",
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.\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.",
author = "Peter Haase and Ronny Siebes and {van Harmelen}, Frank",
year = "2004",
doi = "10.1007-978-3-540-30145-5_7",
isbn = "978-3-540-23609-2",
series = "Proceedings of the International Conference on Semantics in a Networked World ({ICNSW'04})",
pages = "108--125",
booktitle = "Proceedings of the International Conference on Semantics in a Networked World ({ICNSW'04})",
}
Downloads: 0
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