The Fuzzy Description Logic f-SHIN

Stoilos, G; Stamou, G; Tzouvaras, V; Pan, J; Horrocks, I

dc.contributor.author	Stoilos, G	en
dc.contributor.author	Stamou, G	en
dc.contributor.author	Tzouvaras, V	en
dc.contributor.author	Pan, J	en
dc.contributor.author	Horrocks, I	en
dc.date.accessioned	2014-03-01T02:49:58Z
dc.date.available	2014-03-01T02:49:58Z
dc.date.issued	2005	en
dc.identifier.uri	https://dspace.lib.ntua.gr/xmlui/handle/123456789/34831
dc.relation.uri	http://www.informatik.uni-trier.de/~ley/db/conf/semweb/ursw2005.html#StoilosSTPH05	en
dc.subject	Description Logic	en
dc.subject	Fuzzy Description Logic	en
dc.subject	Fuzzy Set Theory	en
dc.subject	Information Retrieval	en
dc.subject	Ontology Alignment	en
dc.subject	Semantic Web	en
dc.title	The Fuzzy Description Logic f-SHIN	en
heal.type	conferenceItem	en
heal.publicationDate	2005	en
heal.abstract	In the Semantic Web information would be retrieved, pro- cessed, combined, shared and reused in the maximum automatic way possible. Obviously, such procedures involve a high degree of uncertainty and imprecision. For example ontology alignment or information retrieval are rarely true or false procedures but usually involve confidence degrees or provide rankings. Furthermore, it is often the case that information	en
heal.journalName	International Semantic Web Conference	en