Designing the context matching engine for evaluating and selecting context information sources

Chantzara, M; Anagnostou, M

dc.contributor.author	Chantzara, M	en
dc.contributor.author	Anagnostou, M	en
dc.date.accessioned	2014-03-01T02:50:20Z
dc.date.available	2014-03-01T02:50:20Z
dc.date.issued	2006	en
dc.identifier.issn	03029743	en
dc.identifier.uri	https://dspace.lib.ntua.gr/xmlui/handle/123456789/35067
dc.subject.other	Computer science	en
dc.subject.other	Context free grammars	en
dc.subject.other	Data processing	en
dc.subject.other	Information management	en
dc.subject.other	Logic design	en
dc.subject.other	User interfaces	en
dc.subject.other	Context sources	en
dc.subject.other	Context-aware services	en
dc.subject.other	Distribute context information	en
dc.subject.other	Management facilities	en
dc.subject.other	Information retrieval	en
dc.title	Designing the context matching engine for evaluating and selecting context information sources	en
heal.type	conferenceItem	en
heal.identifier.primary	10.1007/11740674_7	en
heal.identifier.secondary	http://dx.doi.org/10.1007/11740674_7	en
heal.publicationDate	2006	en
heal.abstract	The easy creation of context-aware services requires the support of management facilities that provide ways to more easily acquire, represent and distribute context information. This paper claims that the quality level of a context-aware service determines the context information to be obtained. On the other hand, using context data produced by unsteady sources may affect the users' satisfaction. In this perspective, we introduce the Context Matching Engine that trades off the cost, the user preferences and the quality of the available context information in order to discover the best context sources for each customized context-aware service. According to the proposed approach, there is no need for the services to know beforehand the context providers to retrieve information, but the evaluation and the quality-aware selection of the context information on context request are envisioned. Finally, it allows services to be ported easily to environments with different set of context sources. © Springer-Verlag Berlin Heidelberg 2006.	en
heal.journalName	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)	en
dc.identifier.doi	10.1007/11740674_7	en
dc.identifier.volume	3946 LNAI	en
dc.identifier.spage	101	en
dc.identifier.epage	117	en