• DocumentCode
    507644
  • Title

    Research on Chinese Domain Ontology Modeling Based on Automatic Knowledge Acquirement from Multiple Dictionaries

  • Author

    Wang, Xiaoxuan ; Chen, Peng ; Wang, Xiaoying ; Liu, Peng

  • Author_Institution
    Dept. of Surveying & Geoinformatics, Tongji Univ., Shanghai, China
  • Volume
    3
  • fYear
    2009
  • fDate
    Nov. 30 2009-Dec. 1 2009
  • Firstpage
    360
  • Lastpage
    366
  • Abstract
    In this paper, we present an ontology modeling tool for building Chinese domain ontology, which not only offers automatic acquisition knowledge from multiple dictionaries, but also corresponds with a dictionary-based ontology modeling methodology that combines methontology and throwaway prototype. By using a case study of spatial information science ontology modeling, the theoretical method and implementation tool of dictionary-based ontology modeling are presented in details. Experience shows that automatic acquisition knowledge from multiple dictionaries for ontology modeling is feasible and merging knowledge between multiple dictionaries can make assistant modeling more effective.
  • Keywords
    dictionaries; knowledge acquisition; natural language processing; ontologies (artificial intelligence); Chinese domain ontology modeling; automatic knowledge acquirement; automatic knowledge acquisition; dictionary-based ontology modeling methodology; methontology; multiple dictionaries; spatial information science ontology modeling; Dictionaries; Knowledge acquisition; Knowledge engineering; Materials science and technology; Ontologies; Programmable logic arrays; Prototypes; Software prototyping; Spirals; Thesauri; dictionary; evolving prototype; ontology modeling; thesaurus; throwaway prototype;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Knowledge Acquisition and Modeling, 2009. KAM '09. Second International Symposium on
  • Conference_Location
    Wuhan
  • Print_ISBN
    978-0-7695-3888-4
  • Type

    conf

  • DOI
    10.1109/KAM.2009.216
  • Filename
    5362276