Title :
Semantic Web imprecise ontology construction method research
Author :
Li, Guanyu ; Han, Guoshuan ; Hu, Xiaomin
Author_Institution :
Fac. of Inf. Sci. & Technol., Dalian Maritime Univ., Dalian, China
Abstract :
Imprecision includes fuzziness and roughness, so imprecise ontology includes fuzzy ontology and rough ontology. Through the investigation to current construction methods about fuzzy and rough ontology, the analysis and comparison to related imprecise ontology construction methods are given. By introducing inclusion degree, a novel method of fuzzy and rough ontology construction is proposed to solve the problem of being unilaterally fuzziness-based or roughness-based in current research domain. Finally, the future research direction is discussed.
Keywords :
fuzzy set theory; ontologies (artificial intelligence); rough set theory; semantic Web; fuzziness; fuzzy ontology; inclusion degree; rough ontology; roughness; semantic Web imprecise ontology construction method research; Computational modeling; Databases; Laboratories; Manuals; OWL; Ontologies; Semantic Web; fuzzy set; imprecise ontology; inclusion degree; ontology construction; rough set;
Conference_Titel :
Software Engineering and Service Science (ICSESS), 2012 IEEE 3rd International Conference on
Conference_Location :
Beijing
Print_ISBN :
978-1-4673-2007-8
DOI :
10.1109/ICSESS.2012.6269472
