Abstract
Knowledge base context is defined as a graduated region ‘surrounding’ a knowledge base expressed in terms of fuzzy measures of acceptability. The graduated regions of a knowledge base’s context provide a formal basis for questioning knowledge integrity. The knowledge representation used is uniform in the sense that data, information and knowledge are all modelled as items. Items inherit the context of their components. Objects are item-building operators that are independent of such context.
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© 1999 Springer-Verlag Berlin Heidelberg
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Debenham, J. (1999). Context as Fuzzy Degrees of Acceptability for Knowledge Base Integrity. In: Bouquet, P., Benerecetti, M., Serafini, L., Brézillon, P., Castellani, F. (eds) Modeling and Using Context. CONTEXT 1999. Lecture Notes in Computer Science(), vol 1688. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-48315-2_38
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DOI: https://doi.org/10.1007/3-540-48315-2_38
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