Abstract
Large amounts of knowledge are available in many knowledge bases for a variety of applications. This knowledge is however usually application specific, and thus not reusable. This paper discusses the problem of making knowledge shareable over applications and reusing it. Three principles are formulated that can form a basis for a methodology for designing sharable knowledge bases. The separation of domain and control knowledge, the explication of meta-models of the domain knowledge (ontologies), and the distinction between ontologies that submit to different classes of assumptions commitments are described as ways of achieving shareable and reusable knowledge bases.
The research reported here was carried out in the course of the KADS-II project. This project is partially funded by the ESPRIT Programme of the Commission of the European Communities as project number 5248. The partners in this project are: Cap Gemini Innovation (F), Cap Programator (S), Netherlands Energy Research Foundation ECN (NL), Eritel SA (ESP), IBM France (F), Lloyd's Register (UK), Swedish Institute of Computer Science (S), Siemens AG (D), Touche Ross MC (UK), University of Amsterdam (NL) and Free University of Brussels (B).
This article expresses the opinions of the authors and not necessarily those of the consortium.
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Wielinga, B.J., Schreiber, A.T. (1994). Conceptual modelling of large reusable knowledge bases. In: von Luck, K., Marburger, H. (eds) Management and Processing of Complex Data Structures. IS/KI 1994. Lecture Notes in Computer Science, vol 777. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-57802-1_10
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DOI: https://doi.org/10.1007/3-540-57802-1_10
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