Context-sensitive semantic query expansion

Akrivas, G; Wallace, M; Andreou, G; Stamou, G; Kollias, S

dc.contributor.author	Akrivas, G	en
dc.contributor.author	Wallace, M	en
dc.contributor.author	Andreou, G	en
dc.contributor.author	Stamou, G	en
dc.contributor.author	Kollias, S	en
dc.date.accessioned	2014-03-01T02:49:08Z
dc.date.available	2014-03-01T02:49:08Z
dc.date.issued	2002	en
dc.identifier.uri	https://dspace.lib.ntua.gr/xmlui/handle/123456789/34339
dc.subject	Fuzzy Set	en
dc.subject	Indexation	en
dc.subject	Information Retrieval System	en
dc.subject	Query Expansion	en
dc.title	Context-sensitive semantic query expansion	en
heal.type	conferenceItem	en
heal.identifier.primary	10.1109/ICAIS.2002.1048064	en
heal.identifier.secondary	http://dx.doi.org/10.1109/ICAIS.2002.1048064	en
heal.publicationDate	2002	en
heal.abstract	Modern information retrieval systems match the terms included in a user's query with available documents, through the use of an index. A fuzzy thesaurus is used to enrich the query with associated terms. In this work, we use semantic entities, rather than terms; this allows us to use knowledge stored in a semantic encyclopedia, specifically the ordering relations, in order	en
heal.journalName	IEEE International Conference on Artificial Intelligence Systems	en
dc.identifier.doi	10.1109/ICAIS.2002.1048064	en