Serving the sky: Discovering and selecting semantic web services through dynamic skyline queries

Skoutas, D; Sacharidis, D; Simitsis, A; Sellis, T

dc.contributor.author	Skoutas, D	en
dc.contributor.author	Sacharidis, D	en
dc.contributor.author	Simitsis, A	en
dc.contributor.author	Sellis, T	en
dc.date.accessioned	2014-03-01T02:45:47Z
dc.date.available	2014-03-01T02:45:47Z
dc.date.issued	2008	en
dc.identifier.uri	https://dspace.lib.ntua.gr/xmlui/handle/123456789/32390
dc.subject	Experimental Evaluation	en
dc.subject	Point of View	en
dc.subject	Semantic Web Service	en
dc.subject	Service Discovery	en
dc.subject	Synthetic Data	en
dc.subject.other	Indexing (of information)	en
dc.subject.other	Information services	en
dc.subject.other	Semantic Web	en
dc.subject.other	Semantics	en
dc.subject.other	Web services	en
dc.subject.other	World Wide Web	en
dc.subject.other	A-priori	en
dc.subject.other	Experimental evaluations	en
dc.subject.other	International conferences	en
dc.subject.other	Multi parameters	en
dc.subject.other	Partial results	en
dc.subject.other	Semantic Web Services	en
dc.subject.other	Service description	en
dc.subject.other	Service selection	en
dc.subject.other	Skyline querying	en
dc.subject.other	Synthetic data	en
dc.subject.other	User's preferences	en
dc.subject.other	Vector problems	en
dc.subject.other	Information theory	en
dc.title	Serving the sky: Discovering and selecting semantic web services through dynamic skyline queries	en
heal.type	conferenceItem	en
heal.identifier.primary	10.1109/ICSC.2008.65	en
heal.identifier.secondary	http://dx.doi.org/10.1109/ICSC.2008.65	en
heal.identifier.secondary	4597195	en
heal.publicationDate	2008	en
heal.abstract	Semantic Web service descriptions are typically multiparameter constructs. Discovering semantically relevant servies given a desirable service description is typically addressed by performing a pairwise, logic-based match between the requested and offered parameters. However, little or no attention is given to combining these partial results to compile the final list of candidate services. Instead, this is often done in an ad hoc manner, implying a priori assumptions regarding the user's preferences. In this paper, we focus on identifying the best candidate Semantic Web services given the description of a requested service. We model the problem as a skyline query, also known as the maximum vector problem, and we show how the service selection process can be performed efficiently. We consider different aspects of the service selection process, addressing both the requesters' and the providers' points of view. Experimental evaluation on real and synthetic data shows the effectiveness and efficiency of the proposed approach. © 2008 IEEE.	en
heal.journalName	Proceedings - IEEE International Conference on Semantic Computing 2008, ICSC 2008	en
dc.identifier.doi	10.1109/ICSC.2008.65	en
dc.identifier.spage	222	en
dc.identifier.epage	229	en