Ranking and Clustering Web Services Using Multicriteria Dominance Relationships

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	2014-03-01T01:59:30Z
dc.date.available	2014-03-01T01:59:30Z
dc.date.issued	2010	en
dc.identifier.uri	https://dspace.lib.ntua.gr/xmlui/handle/123456789/28953
dc.subject	Aggregation Function	en
dc.subject	Experimental Evaluation	en
dc.subject	Inference Rule	en
dc.subject	Information Loss	en
dc.subject	Information Need	en
dc.subject	Information Retrieval	en
dc.subject	Similarity Measure	en
dc.subject	User Preferences	en
dc.subject	Web Search Engine	en
dc.subject	Web Service	en
dc.title	Ranking and Clustering Web Services Using Multicriteria Dominance Relationships	en
heal.type	journalArticle	en
heal.identifier.primary	10.1109/TSC.2010.14	en
heal.identifier.secondary	http://dx.doi.org/10.1109/TSC.2010.14	en
heal.publicationDate	2010	en
heal.abstract	As the web is increasingly used not only to find answers to specific information needs but also to carry out various tasks, enhancing the capabilities of current web search engines with effective and efficient techniques for web service retrieval and selection becomes an important issue. Existing service matchmakers typically determine the relevance between a web service advertisement and a service	en
heal.journalName	IEEE Transactions on Services Computing	en
dc.identifier.doi	10.1109/TSC.2010.14	en