DocumentCode :
2766716
Title :
Automatic Extraction of Fuzzy Domain Ontology Concepts
Author :
Liu, James N K ; Lam, Toby W H ; Wang, Hongwei ; Tam, Hillman W K
Author_Institution :
Dept. of Comput., Hong Kong Polytech. Univ., Hong Kong, China
Volume :
7
fYear :
2009
fDate :
14-16 Aug. 2009
Firstpage :
222
Lastpage :
226
Abstract :
We present an Automatic Ontology Concepts Extractor (AOCE) for ontology construction. The AOCE extracts concept knowledge from the movie domain articles. Two algorithms (1) the Hundred Surname Artist extraction algorithm and (2) Custom Distance Function with the Fuzzy Genetic Expert System are adopted for the extraction process. Experimental results are promising that the system can reduce human efforts for extracting concepts and knowledge from similar articles in a specific domain. The proposed methodology demonstrates the potentials of automatic ontology construction and creation, which are the big incentive for further research.
Keywords :
expert systems; ontologies (artificial intelligence); automatic ontology concepts extractor; custom distance function; fuzzy domain ontology; fuzzy genetic expert system; hundred surname artist extraction algorithm; movie domain articles extraction; Clustering methods; Data mining; Fuzzy systems; Humans; Knowledge management; Motion pictures; Ontologies; Pattern matching; Tagging; Wikipedia; automatic extraction; domain ontology; fuzzy;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Fuzzy Systems and Knowledge Discovery, 2009. FSKD '09. Sixth International Conference on
Conference_Location :
Tianjin
Print_ISBN :
978-0-7695-3735-1
Type :
conf
DOI :
10.1109/FSKD.2009.666
Filename :
5359986
Link To Document :
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