Conceptual Graphs for Formally Managing and Discovering Complementary Competences

  • Nacer BoudjlidaEmail author
  • Badrina Guessoum-Boumezoued
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 9501)


The capture, the structuring of the expertise or the competences of an “object” (lie a business partner, an employee and even a software component or a Web service) are of very crucial interest in many application domains, like cooperative and distributed applications as well as in cooperative e_business applications and in human resource managment. The work that is described in this paper concerns the advertising, the classification and the discovry of competences. The foundings of the proposals that are described here after are a formal representation of competences using conceptual graphs and the use of operations on conceptual graphs for competence discovery and their possible composition.


Competence management Conceptual graphs Competence discovery Competence complementarity 


  1. 1.
    Berio, G., Harzallah, M.: Knowledge management for competence management. J. Univ. Knowl. Manag., 21–28 (2005)Google Scholar
  2. 2.
    Bernstein, P.A., Giunchiglia, F., Kementsietsidis, A., et al.: Data management for peer-to-peer computing: A vision. In: Proceedings of the 5th International Workshop on the Web and Databases (WebDB), pp. 89–94, June 2002Google Scholar
  3. 3.
    Borgida, A., Devanbu, P.: Adding more dl to idl: towards more knowledgeable component interoperability. In: Proceedings of the 21st International Conference on Software Engineering (ICSE), CA, USA, pp. 378–387, May 1999Google Scholar
  4. 4.
    Bouchikhi, M., Boudjlida, N.: Using larch to specify the behavior of objects in open distributed environments. In: Proceedings of the 5th Maghrebian Conference on Software Engineering and Artificial Intelligence (MCSEAI), Tunis, TUNISIA, pp. 275–287, December 1998Google Scholar
  5. 5.
    Boudjlida, N.: A Mediator-based architecture for capability management. In: Proceedings of the 6th IASTED International Conference on Software Engineering and Applications (SEA), Cambridge, USA, pp. 45–50, November 2002Google Scholar
  6. 6.
    Boudjlida, N., Cheng, D.: Complement concept and capability discovery. In: Proceedings of the 1rst International Workshop on Enterprise Modelling and Ontologies for Interoperability (EMOI) in Connection with the 16th Conference on Advanced Information Systems Engineering (CAiSE), Riga, Latvia, pp. 337–342, June 2004Google Scholar
  7. 7.
    CharGer: Editeur de graphes conceptuels.
  8. 8.
    Chein, M., Mugnier, M.L.: Graph-Based Knowledge Representation: Computational Foundations of Conceptual Graphs. Springer, London (2008)Google Scholar
  9. 9.
    Cheng, D.: Competence Management and Discovery in Heterogeneous Environments (Gestion et découverte de compétences dans des environnements hétérogènes). Ph.D. thesis, Henri Poincaré-Nancy1 University, France (2008)Google Scholar
  10. 10.
    Cheng, D., Boudjlida, N.: An architecture for heterogenous federated mediators. In: Proceedings of the 17th Conference on Advanced Information Systems Engineering (CAISE), June 2005Google Scholar
  11. 11.
    Cheng, D., Boudjlida, N.: Capability management and discovery in description logic. In: Proceedings of the 3rd International Workshop on Enterprise Modelling and Ontologies for Interoperability (EMOI), in Connection with the 18th Conference on Advanced Information Systems Engineering (CAiSE), pp. 678–681, June 2006Google Scholar
  12. 12.
    CoGITaNT: Conceptual graphs integrated tools allowing nested typed graphs.
  13. 13.
    Cogui: Outil de création graphique de graphes conceptuels.
  14. 14.
    Sowa, J.F.: Conceptual Structures: Information Processing in Mind and Machine. Addison-Wesley, USA (1984)zbMATHGoogle Scholar
  15. 15.
    Moore, M., Suda, T.: Adaptable peer-to-peer discovery of objects that match multiple keywords. In: International Symposium on Applications and the Internet : Workshops (SAINT Workshops 2004), Tokyo, Japan, pp. 402–407 (2004)Google Scholar
  16. 16.
    Nicolov, N., Mellish, C., Ritchie, G.: Sentence generation from conceptual graphs. In: Ellis, G., Rich, W., Levinson, R., Sowa, J.F. (eds.) ICCS 1995. LNCS, vol. 954, pp. 74–88. Springer, Heidelberg (1995)CrossRefGoogle Scholar
  17. 17.
    Nonaka, I., Takeuchi, H.: The Knowledge-Creating Company: How Japanese Companies Create the Dynamics of Innovation. Oxford University Press, New York (1995)Google Scholar
  18. 18.
    Papakonstantinou, Y., Garcia-molina, H., Ullman, J.: Medmaker: A mediation system based on declarative specifications. In: Proceedings of the 12th International Conference on Data Engineering (ICDE), pp. 132–141, February 1996Google Scholar
  19. 19.
    Preece, A.: A mediator-based infrastructure for virtual organisations. In: Agents-2001 Workshop on Intelligent Agents in B2B E-Commerce, Montreal, Canada (2001)Google Scholar
  20. 20.
    Quillian, M.R.: Semantic memory. In: Minsky, M. (ed.) Semantic Information Processing, pp. 227–270. MIT Press, Cambridge (1968)Google Scholar
  21. 21.
    Ram, S., Park, J.S., Hwang, Y.: CREAM: a mediator based environment for modeling and accessing distributed information on the web. In: Eaglestone, B., North, S.C., Poulovassilis, A. (eds.) BNCOD 2002. LNCS, vol. 2405, pp. 58–61. Springer, Heidelberg (2002)CrossRefGoogle Scholar
  22. 22.
    Salvat, E.: Raisonner avec des opérations de graphes: graphes conceptuels et règles d’inférence. Ph.D. thesis, Montpellier II University (1997)Google Scholar
  23. 23.
    Schmidt-Schauss, M., Smolka, G.: Attributive concept descriptions with complements. Artif. Intell. J. 48, 1–26 (1991)MathSciNetCrossRefzbMATHGoogle Scholar
  24. 24.
    Site, C.: Conceptual Graphs Interchange Format.
  25. 25.
    Site, D.: Description logics.
  26. 26.
    Southey, F., Linders, J.G.: Notio - a java API for developing CG tools. In: Tepfenhart, W.M. (ed.) ICCS 1999. LNCS, vol. 1640, pp. 262–271. Springer, Heidelberg (1999)CrossRefGoogle Scholar
  27. 27.
    Talantikite, H., Aissani, D., Boudjlida, N.: Semantic annotations for web services discovery and composition. Comput. Stand. Interfaces 31, 1108–1117 (2009)CrossRefGoogle Scholar
  28. 28.
    T\(\ddot{o}\)nshoff, H.K., Seilonen, I., Teunis, G., Leito, P. : A mediator-based approach for decentralised production planning, scheduling and monitoring. In: Proceedings of the CIRP International Seminar on Intelligent Computation in Manufacturing Engineering (ICME), June 2000Google Scholar
  29. 29.
    Wiederhold, G.: Mediators in the architecture of future information systems. IEEE Comput. 25, 38–49 (1992)CrossRefGoogle Scholar

Copyright information

© Springer International Publishing Switzerland 2015

Authors and Affiliations

  1. 1.LoriaLorraine UniversityNancyFrance
  2. 2.Bejaia UniversityBejaiaAlgeria

Personalised recommendations