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The Engineering of a CG-Based System: Fundamental Issues

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Conceptual Structures: Logical, Linguistic, and Computational Issues (ICCS 2000)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 1867))

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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.

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Author information

Authors and Affiliations

  1. Université Laval, Quebec City, Quebec, G1K 7P4, Canada

    Guy W. Mineau

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  1. Guy W. Mineau
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Editor information

Editors and Affiliations

  1. Institute of Algebra, University of Technology, Dresden, Germany

    Bernhard Ganter

  2. Département d’informatique et de génie logiciel, Université Laval, Pavillon Adrien-Pouliot, 1065, av. de la Médecine, G1V 0A6, Quebec City, Québec, Canada

    Guy W. Mineau

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Mineau, G.W. (2000). The Engineering of a CG-Based System: Fundamental Issues. In: Ganter, B., Mineau, G.W. (eds) Conceptual Structures: Logical, Linguistic, and Computational Issues. ICCS 2000. Lecture Notes in Computer Science(), vol 1867. Springer, Berlin, Heidelberg. https://doi.org/10.1007/10722280_10

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  • DOI: https://doi.org/10.1007/10722280_10

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-67859-5

  • Online ISBN: 978-3-540-44663-7

  • eBook Packages: Springer Book Archive

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