Fuzzy relational knowledge representation and context in the service of semantic information retrieval

Wallace, M; Avrithis, Y

dc.contributor.author	Wallace, M	en
dc.contributor.author	Avrithis, Y	en
dc.date.accessioned	2014-03-01T02:42:47Z
dc.date.available	2014-03-01T02:42:47Z
dc.date.issued	2004	en
dc.identifier.issn	10987584	en
dc.identifier.uri	https://dspace.lib.ntua.gr/xmlui/handle/123456789/31078
dc.subject	Fuzzy Relation	en
dc.subject	Information Retrieval	en
dc.subject	Information Service	en
dc.subject	Knowledge Representation	en
dc.subject	Semantic Information	en
dc.subject.other	Descriptors	en
dc.subject.other	Fuzzy relations	en
dc.subject.other	Notations	en
dc.subject.other	Taxonomy	en
dc.subject.other	Fuzzy sets	en
dc.subject.other	Information services	en
dc.subject.other	Mathematical models	en
dc.subject.other	Parameter estimation	en
dc.subject.other	Query languages	en
dc.subject.other	Semantics	en
dc.subject.other	Information retrieval	en
dc.title	Fuzzy relational knowledge representation and context in the service of semantic information retrieval	en
heal.type	conferenceItem	en
heal.identifier.primary	10.1109/FUZZY.2004.1375376	en
heal.identifier.secondary	http://dx.doi.org/10.1109/FUZZY.2004.1375376	en
heal.publicationDate	2004	en
heal.abstract	In this paper we follow a fuzzy relational approach to knowledge representation. With the use of semantic fuzzy relations we define and extract the semantic context out of a set of semantic entities. Based on this, we then proceed to the case of information retrieval and explain how the three participating contexts, namely the context of the query, the context of the document and the context of the user, can be estimated and utilized towards the achievement of more intuitive information services.	en
heal.journalName	IEEE International Conference on Fuzzy Systems	en
dc.identifier.doi	10.1109/FUZZY.2004.1375376	en
dc.identifier.volume	3	en
dc.identifier.spage	1397	en
dc.identifier.epage	1402	en