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An Agent-, Service-Based Platform Supporting Ontological Integration of Proficient Knowledge Managed in Decision Making

  • Elsa Trigueros
  • María V. Hurtado
  • Kawtar Benghazi
  • José-Manuel Zurita
Conference paper
Part of the Advances in Intelligent and Soft Computing book series (AINSC, volume 71)

Abstract

Case-based reasoning (CBR) is a problem-solving strategy which tries to leverage past experiences (cases) to solve incoming situations. On the other hand, ontologies are proving to be a means to facilitate sharing and reuse of bodies of knowledge across organizations and applications on the basis of a well-defined semantics for concepts and their relationships. To a certain extent, organizations may wish to operate in an autonomous, independent way, but also may wish to improve enterprise collaboration for competitiveness reasons, strategic alliances, etc. In order to achieve the integration of distributed knowledge bases used in decision making systems, a formal characterization of cases through their ontological description is presented, as well as their interrelationships with cases stored in other different repositories. We propose the use of domain classification and term mappings techniques, in concert with an Internet-operative platform that combines agent and service technologies, intended to satisfy and accomplish effective knowledge sharing across organizations.

Keywords

Domain Ontology User Agent Term Mapping Case Retrieval Domain Classification 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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References

  1. 1.
    Bergmann, R., Schaaf, M.: On the Relations between Structural Case-Based Reasoning and Ontology-based Knowledge Management. Journal of Universal Computer Science 9(7), 608–626 (2003)Google Scholar
  2. 2.
    Budinska, I., Frankovic, B., Dang, T.T.: Intelligent Agents in Support System for Discrete Process Control Design. In: Proc. International Conference in Memoriam of John von Neumann, pp. 23–34 (2003)Google Scholar
  3. 3.
    Castro, J.L., Sánchez, J.M., Zurita, J.M.: Simplifying Case Retrieval in Case-based Reasoning using Ontologies. Artificial Intelligence and Soft Computing (2005)Google Scholar
  4. 4.
    Castro, J.L., Navarro, M., Sanchez, J.M., Zurita, J.M.: Default reasoning with ontologies. In: Procc. Intelligent Systems and Agents, pp. 35–43 (2007)Google Scholar
  5. 5.
    Chaudhury, S., Singh, T., Goswami, P.S.: Distributed fuzzy case based reasoning. Applied Soft Computing 4, 323–343 (2004)CrossRefGoogle Scholar
  6. 6.
    Davies, J.: Towards the Semantic Web, Ontology-Driven Knowledge Management. John Wiley & Sons, Chichester (2002)Google Scholar
  7. 7.
    Garrido, J.L., Hurtado, M.V., Noguera, M., Zurita, J.M.: Using a CBR Approach based on Ontologies for Recommendation and Reuse of Knowledge Sharing in Decision Making. In: 8th International Conference on Hybrid Intelligent Systems (HIS 2008), pp. 837–842. IEEE Press, Los Alamitos (2008)CrossRefGoogle Scholar
  8. 8.
    Hayes, C., Cunningham, P., Doyle, M.: Distributed CBR using XML (Department of Computer Science Trinity College, Dublin) (2001)Google Scholar
  9. 9.
    Knublauch, H., Fergerson, R.W., Noy, N.F., Musen, M.: The Protégé OWL Plugin: An Open Development Environment for Semantic Web Applications. In: McIlraith, S.A., Plexousakis, D., van Harmelen, F. (eds.) ISWC 2004. LNCS, vol. 3298, pp. 229–243. Springer, Heidelberg (2004)Google Scholar
  10. 10.
    Pelletier, S., Pierre, S., Hoang, H.: Modeling a Multi-Agent System for Retrieving Information from Distributed Sources. Journal of Computing and Information Technology CIT 11, 15–39 (2003)CrossRefGoogle Scholar
  11. 11.
    Plaza, E., McGinty, L.: Distributed Case-based Reasoning. Knowledge Engineering Review 20, 261–265 (2006)CrossRefGoogle Scholar
  12. 12.
    Sirin, E., Parsia, B., Cuenca-Grau, B., Kalyanpur, A., Katz, Y.: Pellet: A practical OWL-DL reasoner. Journal of Web Semantics 5, 51–53 (2007)Google Scholar
  13. 13.
    Specification for the UML Profile and Metamodel for Services (UPMS) (April 16, 2009), http://www.omg.org/spec/soaml/1.0/
  14. 14.
    W3C Web Ontology Working Group, http://www.w3.org/2001/sw/WebOnt/
  15. 15.
    Watson, I., Gardingen, D.: A Distributed Case Based Reasoning Application for Engineering Sales Support. In: Procc. of the IJCAI 1999, pp. 600–605 (1999)Google Scholar
  16. 16.
    Yates, J.F., Tschirhart, M.D.: Decision Making Expertise. In: Ericsson, A., et al. (eds.) Cambridge Handbook on Expertise and Expert Performance. Cambridge Univ. Press, Cambridge (2006)Google Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 2010

Authors and Affiliations

  • Elsa Trigueros
    • 1
  • María V. Hurtado
    • 1
  • Kawtar Benghazi
    • 1
  • José-Manuel Zurita
    • 2
  1. 1.Departamento de Lenguajes y Sistemas InformáticosUniversidad de Granada, E.T.S.I.I.T.GranadaSpain
  2. 2.Departamento de Ciencias de la Computación e Inteligencia ArtificialUniversidad de Granada, E.T.S.I.I.T.GranadaSpain

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