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
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