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ABSTRACT

Our ongoing work aims at defining an ontology-centered approach for building expertise models for the CommonKADS methodology. This approach (which is named "OntoKADS") is founded on a core problem-solving ontology which distinguishes between two conceptualization levels: i) at an object level, a set of concepts enable us to define classes of problem-solving situations. This sub-ontology extends the foundational ontology DOLCE [3]; ii) at a meta level, a set of meta-concepts represent modeling primitives. In particular, a set of such meta-concepts render an account of roles, the primitive situated at the interface between domain knowledge and reasoning, and whose ontological status is still much debated since the late 1990s [5]. In this short article we give an overview of OntoKADS.

REFERENCES

• 1: S. Bruaux, G. Kassel and Gilles Morel. An ontological approach to the construction of problem-solving models. LaRIA Research Report 2005-03, University of Picardie Jules Verne. Available at http://hal.ccsd.cnrs.fr/ccsd-00005019.
• 2: Nicola Guarino , Christopher A. Welty, A Formal Ontology of Properties, Proceedings of the 12th European Workshop on Knowledge Acquisition, Modeling and Management, p.97-112, October 02-06, 2000
• 3: C. Masolo, S. Borgo, A. Gangemi, N. Guarino, A. Oltramari and L. Schneider. The WonderWeb Library of Foundational Ontologies and the DOLCE ontology. WonderWeb Deliverable D18, Final Report (vr. 1.0, 31-12-2003).
• 4: Guus T. Schreiber , Hans Akkermans, Knowledge engineering and management: the CommonKADS methodology, MIT Press, Cambridge, MA, 2000
• 5: G. van Heijst , A. Th. Schreiber , B. J. Wielinga, Roles are not classes: a reply to Nicola Guarino, International Journal of Human-Computer Studies, v.46 n.2-3, p.311-318, Feb./March 1997 [doi>10.1006/ijhc.1996.0092]

INDEX TERMS

Primary Classification:
  I. Computing Methodologies
  I.2 ARTIFICIAL INTELLIGENCE
      I.2.4 Knowledge Representation Formalisms and Methods

General Terms:
Theory

Keywords:
CommonKADS, DOLCE, OntoKADS, core problem-solving ontologies, foundational ontologies, knowledge engineering and modeling methodologies, ontology engineering, problem-solving models