• DocumentCode
    2620806
  • Title

    Leveraging Traditional Software Engineering Tools to Ontology Engineering under a New Methodology

  • Author

    John, Santhosh

  • Author_Institution
    Dept. of Comput., MECIT, Muscat, Oman
  • fYear
    2010
  • fDate
    21-23 May 2010
  • Firstpage
    1
  • Lastpage
    5
  • Abstract
    W3C´s Semantic Web intents a common framework that allows data to be shared and reused across application and enterprise. The semantic web and its related technologies are the main directions of future web development where machine-processable information which supports user tasks. Ontologies are playing the vital role in Semantic Web. Researches on Ontology engineering had pointed out that an effective ontology application development methodology with integrated tool support is a mandatory for its success. . Potential benefits are there to ontology engineering in making the toolset of Model Driven Architecture applicable to ontology modeling. Since Software and Ontology engineering are two complimentary branches, the scope of extension of well proven methodologies and UML based modeling approaches used in software engineering to ontology engineering will bridge the gap between the engineering branches. This research paper is an attempt to suggest an exclusive methodology for ontology development from existing matured software engineering methodologies with UML modeling tool integration.
  • Keywords
    Unified Modeling Language; ontologies (artificial intelligence); semantic Web; software tools; UML based modeling; model driven architecture; ontology engineering; semantic Web; software engineering tools; Application software; Bridges; Computer architecture; OWL; Ontologies; Resource description framework; Semantic Web; Software engineering; Standards development; Unified modeling language;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Future Information Technology (FutureTech), 2010 5th International Conference on
  • Conference_Location
    Busan
  • Print_ISBN
    978-1-4244-6948-2
  • Type

    conf

  • DOI
    10.1109/FUTURETECH.2010.5482657
  • Filename
    5482657