SDQNET: Semantic distributed querying in loosely coupled data sources

Spyropoulou, E; Dalamagas, T

dc.contributor.author	Spyropoulou, E	en
dc.contributor.author	Dalamagas, T	en
dc.date.accessioned	2014-03-01T02:44:11Z
dc.date.available	2014-03-01T02:44:11Z
dc.date.issued	2006	en
dc.identifier.issn	0302-9743	en
dc.identifier.uri	https://dspace.lib.ntua.gr/xmlui/handle/123456789/31734
dc.subject	Distributed Data Management	en
dc.subject	Query Processing	en
dc.subject	Web Community	en
dc.subject.classification	Computer Science, Theory & Methods	en
dc.subject.other	Data sources	en
dc.subject.other	Distributed data management	en
dc.subject.other	Semantic query processing	en
dc.subject.other	Computer architecture	en
dc.subject.other	Data reduction	en
dc.subject.other	Data structures	en
dc.subject.other	Distributed computer systems	en
dc.subject.other	Mathematical models	en
dc.subject.other	Semantics	en
dc.subject.other	Query languages	en
dc.title	SDQNET: Semantic distributed querying in loosely coupled data sources	en
heal.type	conferenceItem	en
heal.identifier.primary	10.1007/11827252_7	en
heal.identifier.secondary	http://dx.doi.org/10.1007/11827252_7	en
heal.language	English	en
heal.publicationDate	2006	en
heal.abstract	Web communities involve networks of loosely coupled data sources. Members in those communities should be able to pose queries and gather results from all data sources in the network, where available. At the same time, data sources should have limited restrictions on how to organize their data. If a global schema is not available for such a network, query processing is strongly based on the existence of (hard to maintain) mapping rules between pairs of data sources. If a global schema is available, local schemas of data sources have to follow strict modelling restrictions posed by that schema. In this paper, we suggest an architecture to provide better support for distributed data management in loosely coupled data sources. In our approach, data sources can maintain diverse schemas. No explicit mapping rules between data sources are needed to facilitate query processing. Data sources can join and leave the network any time, at no cost for the community. We demonstrate our approach, describing SDQNET, a prototype platform to support semantic query processing in loosely coupled data sources. © Springer-Verlag Berlin Heidelberg 2006.	en
heal.publisher	SPRINGER-VERLAG BERLIN	en
heal.journalName	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)	en
heal.bookName	LECTURE NOTES IN COMPUTER SCIENCE	en
dc.identifier.doi	10.1007/11827252_7	en
dc.identifier.isi	ISI:000241467200004	en
dc.identifier.volume	4152 LNCS	en
dc.identifier.spage	55	en
dc.identifier.epage	70	en