• DocumentCode
    3280678
  • Title

    Distributed knowledge extracted by a mas using ontology alignment methods

  • Author

    Monticolo, Davy ; Lahoud, Inaya ; Bonjour, Eric

  • Author_Institution
    Innovative Processes Res. Team (ERPI Lab.), Lorraine Univ., Nancy, France
  • Volume
    1
  • fYear
    2012
  • fDate
    12-14 June 2012
  • Firstpage
    386
  • Lastpage
    391
  • Abstract
    Nowadays new product development involves different types of actors (technician, managers, board of directors) which must be able to share knowledge, experiences and work together efficiently. Each actor has a professional specialty and uses one or several software tools (CAO, project management tools, PLM tools ...) dedicated to her specific activities. Each of these software tools produces different information sources (databases, XML files, text files) which are distributed through the enterprise network. In this paper, we present the design of a multi-agent software architecture that allows the capitalization of distributed and heterogeneous knowledge. We then describe how the agents assist users to create domain ontologies matching with professional software tools databases and how the agent build semantic queries to extract knowledge.
  • Keywords
    knowledge management; multi-agent systems; ontologies (artificial intelligence); product development; software architecture; MAS; PLM tools; XML files; distributed knowledge; domain ontologies matching; enterprise network; heterogeneous knowledge; information sources; multiagent software architecture; ontology alignment methods; product development; professional software tools databases; project management tools; semantic queries; text files; Data mining; Databases; Knowledge management; Ontologies; Semantics; Software tools; Architecture; Distributed Knowledge Management; Multi Agent System; Ontology;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computer & Information Science (ICCIS), 2012 International Conference on
  • Conference_Location
    Kuala Lumpeu
  • Print_ISBN
    978-1-4673-1937-9
  • Type

    conf

  • DOI
    10.1109/ICCISci.2012.6297276
  • Filename
    6297276