Advertisement

Semantic Web and Multi-Agents Approach to Corporate Memory Management

  • Fabien Gandon
  • Rose Dieng-Kuntz
  • Olivier Corby
  • Alain Giboin
Part of the IFIP — The International Federation for Information Processing book series (IFIPAICT, volume 93)

Abstract

Organisations have increasingly large amount of heterogeneous documents to manage and organise in order to turn them into active and helpful corporate memories. We present an approach based on semantic Web and multi-agents systems to implement a framework for corporate semantic Web management.

Key words

semantic web multi-agents system corporate memory knowledge management ontologies information retrieval 

References

  1. [1]
    Aguirre, Brena, Cantu-Ortiz, Multiagent-based Knowledge Networks. To appear in the special issue on Knowledge Management of the journal Expert Systems with Applications.Google Scholar
  2. [2]
    Bellifemine, Poggi, Rimassa, Developing multi agent systems with a FIPA-compliant agent framework. Software Practice amp; Experience, (2001) 31: 103–128Google Scholar
  3. [3]
    Berners-Lee, Hendler, Lassila, The Semantic Web, Scientific American, May 2001: 35–43Google Scholar
  4. [4]
    Berney, Ferneley, CASMIR: Information Retrieval Based on Collaborative User Profiling, Proc. of PAAM’99, pp. 41–56. www.casmir.netGoogle Scholar
  5. [5]
    Bothorel, Thomas, A Distributed Agent Based-Platform for Internet User Communities, In Proc. of PAAM’99, Lancashire, pp. 23–40.Google Scholar
  6. [6]
    Brickley, Guha, Resource Description Framework Schema Specification 1.0, W3C Candidate Recommendation 27 March 2000Google Scholar
  7. [7]
    CoMMA http://www.si.fr.atosorigin.com/sophia/comma/Htm/HomePage.htmGoogle Scholar
  8. [8]
    Corby, Dieng, Hébert, A Conceptual Graph Model for W3C Resource Description Framework. In Proc. ICCS’2000 Darmstadt GermanyGoogle Scholar
  9. [9]
    Corby, Faron, CORESE: a corporate semantic web engine, Proc. of WWW02 Workshop on Real World RDF amp; Semantic Web, Hawai 2002.Google Scholar
  10. [10]
    Decker, Brickley, Saarela, Angele. A Query Service for RDF. Query Languages 98, W3C Workshop.Google Scholar
  11. [11]
    Delteil, Faron, Dieng, Extension of RDFS based on the CG formalism, Proc. ICCS’01 Google Scholar
  12. [12]
    Doyle, Hayes-Roth, Agents in Annotated Worlds, In Proc. Autonomous Agents, ACM Press/ACM SIGART, Minneapolis, MN USA (1998) p173–180Google Scholar
  13. [13]
    Dzbor, Paralic, Paralic, Knowledge Management in a Distributed Organisation, In Proc. of the BASYS’2000–4th IEEE/IFIP International Conference on Information Technology for Balanced Automation Systems in Manufacturing, Kluwer Academic Pub–fishers, London, September 2000, ISBN 0–7923–7958–6, pp. 339–348Google Scholar
  14. [14]
    Fensel, Van Harmelen, Horrocks, McGuinness, Patel-Schneider. OIL: An ontology infrastructure for the semantic web. IEEE Intelligent Systems, 16 (2): 38–45, 2001.Google Scholar
  15. [15]
    Gandon, Engineering an Ontology for a Multi-Agents Corporate Memory System, In Proc. ISMICK’0l, Université de Technologie de Compiègne, p209–228.Google Scholar
  16. [16]
    Kiss, Quinqueton, Multiagent Cooperative Learning of User Preferences, Proc. of European CMLP amp; PKDD, 2001.Google Scholar
  17. [17]
    Lassila, Swick, Resource Description Framework (RDF) Model and Syntax Specification, W3C Recommendation 22 February 1999Google Scholar
  18. [18]
    Sowa, Conceptual Structures: Information Processing in Mind and Machine,Addison-Wesley, 1984.Google Scholar
  19. [19]
    Rolstadés, Development trends to support Enterprise Modeling, in Rolstadés and Andersen Enterprise Modeling: Improving Global Industrial Competitiveness, Kluwer Academic Publisher, p3–16, 2000CrossRefGoogle Scholar
  20. [20]
    Van Elst, Abecker, Domain Ontology Agents in Distributed Organizational Memories. To appear in Dieng amp; Matta eds, Knowledge Management and Organizational Memories, Kluwer, 2002.Google Scholar
  21. [21]
    Van Harmelen, Patel-schneider, Horrocks, Reference description of the DAML+OIL ontology markup language. http://pride.daml.org/2000/12/reference.html. March 2001.

Copyright information

© IFIP International Federation for Information Processing 2002

Authors and Affiliations

  • Fabien Gandon
    • 1
  • Rose Dieng-Kuntz
    • 1
  • Olivier Corby
    • 1
  • Alain Giboin
    • 1
  1. 1.ACACIA projectINRIA Sophia AntipolisFrance

Personalised recommendations