• 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