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Data-Sharing P2P Networks with Semantic Approximation Capabilities
September/October 2009 (vol. 13 no. 5)
pp. 60-70
Federica Mandreoli, University of Modena and Reggio Emilia
Riccardo Martoglia, University of Modena and Reggio Emilia
Wilma Penzo, University of Bologna
Simona Sassatelli, University of Modena and Reggio Emilia
The synergy between peer-to-peer systems and Semantic Web technologies supports large-scale sharing of semantically rich data, usually represented through schemas such as RDF. Peers rarely share the same vocabulary, so the resulting heterogeneity of data representations introduces new challenges for the efficient and effective retrieval of relevant information. The authors leverage the presence of semantic approximations between peers' schemas to improve query routing by identifying the peers that best satisfy the user's requests, and to inform users of the relevance of the returned answers through a ranking mechanism that promotes the most semantically related results.

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Index Terms:
P2P data sharing, semantics, query processing, fuzzy models
Citation:
Federica Mandreoli, Riccardo Martoglia, Wilma Penzo, Simona Sassatelli, "Data-Sharing P2P Networks with Semantic Approximation Capabilities," IEEE Internet Computing, vol. 13, no. 5, pp. 60-70, Sept.-Oct. 2009, doi:10.1109/MIC.2009.105
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