• DocumentCode
    1921130
  • Title

    A methodology for acquisition of software component attribute ontology

  • Author

    Jin, Liu ; Keqing, He ; Bing, Li ; Hao, Chen ; Liang, Peng

  • Author_Institution
    State Key Lab. of Software Eng., Wuhan Univ., China
  • fYear
    2004
  • fDate
    14-16 Sept. 2004
  • Firstpage
    1058
  • Lastpage
    1064
  • Abstract
    Although value of ontologies is widely admitted in Web-based information management, acquisition of ontologies is still the bottleneck in developing applications based on them. Rapid acquisition of high-quality software component attribute ontology (SCAO) is desired in some infrastructural platforms that intend to facilitate weaving Web-based information systems based on software component. After analyzing existing methodologies, we advance a new methodology for acquiring SCAO. The purpose of this methodology is that both rapid acquiring ontologies and quality control of ontologies can be achieved. The ontology acquisition process, the algorithm of metaproperty collision inspection, and a tool based on this algorithm are discussed in our methodology. The process of SCAO acquisition is hereby described in detail, which indicates that our methodology is practical to rapidly acquire high-quality ontologies.
  • Keywords
    information management; information systems; object-oriented programming; ontologies (artificial intelligence); quality control; SCAO acquisition; Web-based information management; Web-based information systems; metaproperty collision inspection; quality control; software component attribute ontology; Application software; Helium; Information management; Internet; Laboratories; Management information systems; Ontologies; Quality control; Software systems; Weaving;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computer and Information Technology, 2004. CIT '04. The Fourth International Conference on
  • Print_ISBN
    0-7695-2216-5
  • Type

    conf

  • DOI
    10.1109/CIT.2004.1357336
  • Filename
    1357336