Data-Sharing P2P Networks with Semantic Approximation Capabilities

Federica Mandreoli; Simona Sassatelli; Riccardo Martoglia; Wilma Penzo

doi:10.1109/MIC.2009.105

Internet Computing
2009
Issue No. 5 - September/October
Abstract - Data-Sharing P2P Networks with Semantic Approximation Capabilities

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Data-Sharing P2P Networks with Semantic Approximation Capabilities

September/October 2009 (vol. 13 no. 5)

pp. 60-70

	ASCII Text	x
	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, September/October, 2009.

	BibTex	x
	@article{ 10.1109/MIC.2009.105, author = {Federica Mandreoli and Riccardo Martoglia and Wilma Penzo and Simona Sassatelli}, title = {Data-Sharing P2P Networks with Semantic Approximation Capabilities}, journal ={IEEE Internet Computing}, volume = {13}, number = {5}, issn = {1089-7801}, year = {2009}, pages = {60-70}, doi = {http://doi.ieeecomputersociety.org/10.1109/MIC.2009.105}, publisher = {IEEE Computer Society}, address = {Los Alamitos, CA, USA}, }

	RefWorks Procite/RefMan/Endnote	x
	TY - MGZN JO - IEEE Internet Computing TI - Data-Sharing P2P Networks with Semantic Approximation Capabilities IS - 5 SN - 1089-7801 SP60 EP70 EPD - 60-70 A1 - Federica Mandreoli, A1 - Riccardo Martoglia, A1 - Wilma Penzo, A1 - Simona Sassatelli, PY - 2009 KW - P2P data sharing KW - semantics KW - query processing KW - fuzzy models VL - 13 JA - IEEE Internet Computing ER -

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

DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/MIC.2009.105

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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