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Abstract

This paper presents some important issues that a knowledge engineer must consider when developing a conceptual graph (CG) based system, particularly in the context of a deductive data/knowledge base. These issues entail fundamental representation choices that must be made prior to the development of the system. Of course, inevitable consequences follow and delimit the scope of the system in terms of its representational and inferential capabilities. However, for industrial development, a less ambitious but realistic approach is often more suited to the kind of constraints usually imposed by the market place: feasibility, scalability, simplicity, interpretability, portability, partial knowledge, time to market, etc. This paper presents and discusses some of these issues and sets the stage for an in-depth discussion pertaining to the development of CG-based systems for industrial applications, particularly for applications where a CG system provides the conceptual level of knowledge organization functionalities required by an information system

Date

3. 9.2000 15:22:33

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Abstract

Knowledge management, in particular corporate knowledge management, is a challenge companies and researchers have to meet. The conceptual graph formalism is a good candidate for the representation of corporate knowledge, and for the development of knowledge management systems. But many of the issues concerning the use of conceptual graphs as a metalanguage have not been worked out in detail. By introducing a function that maps higher level to lower level, this paper clarifies the metalevel semantics, notation and manipulation of concepts in the conceptual graph formalism. In addition, this function allows metamodeling activities to take place using the CG notation