Ontology-based data sharing in P2P databases

Skoutas, D; Kantere, V; Simitsis, A; Sellis, T

dc.contributor.author	Skoutas, D	en
dc.contributor.author	Kantere, V	en
dc.contributor.author	Simitsis, A	en
dc.contributor.author	Sellis, T	en
dc.date.accessioned	2014-03-01T02:51:46Z
dc.date.available	2014-03-01T02:51:46Z
dc.date.issued	2008	en
dc.identifier.issn	03029743	en
dc.identifier.uri	https://dspace.lib.ntua.gr/xmlui/handle/123456789/35641
dc.subject.other	Data sharing	en
dc.subject.other	Ontology matching	en
dc.subject.other	Peer-to-Peer systems	en
dc.subject.other	Schema mappings	en
dc.subject.other	Schemas	en
dc.subject.other	Semantic annotations	en
dc.subject.other	Semantic similarity	en
dc.subject.other	Similarity measuring	en
dc.subject.other	Structured data	en
dc.subject.other	Client server computer systems	en
dc.subject.other	Computer systems	en
dc.subject.other	Database systems	en
dc.subject.other	Information services	en
dc.subject.other	Information theory	en
dc.subject.other	Learning systems	en
dc.subject.other	Quality control	en
dc.subject.other	Search engines	en
dc.subject.other	Semantic Web	en
dc.subject.other	Semantics	en
dc.subject.other	Ontology	en
dc.title	Ontology-based data sharing in P2P databases	en
heal.type	conferenceItem	en
heal.identifier.primary	10.1007/978-3-540-70960-2_7	en
heal.identifier.secondary	http://dx.doi.org/10.1007/978-3-540-70960-2_7	en
heal.publicationDate	2008	en
heal.abstract	We consider peer-to-peer systems in which peers share structured data through the use of schema mappings. Peers express their queries and rewrite incoming queries on their local schema. We assume the existence of one or more ontologies describing the domain of interest of the peers. The ontologies are used to semantically annotate each peer schema, making explicit the type of information provided by it. A major problem in such a system is that peers cannot easily judge the semantic relativeness of their interests to interests of other peers, as these are expressed by the respective local schemas. Moreover, peers cannot evaluate the semantic relativeness of answers that they receive to their queries. In this paper, we propose a semantic similarity measure for evaluating the semantic relativeness between peer schemas, as well as between queries and their rewritten versions on other peers. The similarity measure is first introduced under the assumption of a shared ontology among the community of peers, and then it is extended, employing ontology matching and translation techniques, to support the comparison of class expressions accross multiple ontologies. The proposed similarity measure adopts the notions of recall and precision from the field of Information Retrieval. Our goal is to use this measure for the identification of semantically relevant peers and the evaluation of the quality of the received answers based on the semantic annotations, the mappings, and the queries issued. © 2008 Springer-Verlag Berlin Heidelberg.	en
heal.journalName	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)	en
dc.identifier.doi	10.1007/978-3-540-70960-2_7	en
dc.identifier.volume	5005 LNCS	en
dc.identifier.spage	117	en
dc.identifier.epage	137	en