• DocumentCode
    2527178
  • Title

    OCEAN: A Semantic Web Service to Extract Knowledge in E-Groupwares

  • Author

    Lahoud, Inaya ; Monticolo, Davy ; Gomes, Samuel

  • Author_Institution
    INCIS Group, Univ. of Technol. of Belfort-Montbeliard, Belfort, France
  • fYear
    2010
  • fDate
    15-18 Dec. 2010
  • Firstpage
    354
  • Lastpage
    362
  • Abstract
    Some research programs are focused on the use of web services and semantic web approach to design tools for knowledge management. These tools help to share information among business applications. We will prove in this paper the benefit to combine semantic and web services approaches to identify and annotate knowledge in a heterogeneous and distributed information landscape. We present here, a comprehensive explanation of our approach which integrates an intelligent reuse module of knowledge that allows engineers to capitalize their know-how. This knowledge will be extracted by web services that enable communication between several business applications. Then in the second section, we describe different ontologies which are created by users depending on their needs to define knowledge. These are extracted from business applications thanks to semantic web service. At the end, this knowledge will be annotated and saved in a RDF file.
  • Keywords
    Web services; business data processing; groupware; knowledge acquisition; knowledge management; ontologies (artificial intelligence); semantic Web; OCEAN; RDF file; distributed information landscape; e-groupware; information sharing; intelligent reuse module; knowledge annotation; knowledge extraction; knowledge management; ontologies; semantic Web service; Business; OWL; Ontologies; Semantics; Web services; Annotation; Knowledge extraction; Ontology; Semantic web service;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Signal-Image Technology and Internet-Based Systems (SITIS), 2010 Sixth International Conference on
  • Conference_Location
    Kuala Lumpur
  • Print_ISBN
    978-1-4244-9527-6
  • Electronic_ISBN
    978-0-7695-4319-2
  • Type

    conf

  • DOI
    10.1109/SITIS.2010.64
  • Filename
    5714574