DocumentCode
230068
Title
Fuzzy ontologies: The state of the art
Author
Cross, V.V.
Author_Institution
Comput. Sci. & Software Eng. Dept., Miami Univ., Oxford, OH, USA
fYear
2014
fDate
24-26 June 2014
Firstpage
1
Lastpage
8
Abstract
Ontologies play a central role in the Semantic Web. Much research has focused on extending ontologies and Semantic Web technologies to handle uncertain information. This paper provides a review of recent approaches for extending ontologies to fuzzy ontologies. Some approaches have been developed for application specific purposes, for example for information retrieval and search on the Semantic Web and are not formally relying on current Semantic Web technologies such as standard web ontology languages and tools such as ontology editors or reasoners. Other approaches emphasize developing methods to extend Semantic Web standard technologies with fuzzy logic and fuzzy reasoning.
Keywords
fuzzy logic; fuzzy reasoning; fuzzy set theory; knowledge representation languages; ontologies (artificial intelligence); semantic Web; uncertainty handling; application specific purpose; fuzzy logic; fuzzy ontology; fuzzy reasoning; information retrieval; information search; ontology editors; ontology reasoners; semantic Web technology; standard Web ontology languages; uncertain information; Cognition; Context; Lattices; OWL; Ontologies; Standards; OWL; Semantic Web; fuzzy logic; ontologies; ontology tools;
fLanguage
English
Publisher
ieee
Conference_Titel
Norbert Wiener in the 21st Century (21CW), 2014 IEEE Conference on
Conference_Location
Boston, MA
Type
conf
DOI
10.1109/NORBERT.2014.6893867
Filename
6893867
Link To Document