Abstract
In the technical, legal, administrative and especially in the planning domain we often face the problem to distinguish between members of a class. Concepts as ideas underlying a class of things at the same time are our substantial elements for building knowledge bases. Especially rules are made up from concepts and expressions, that are connected by the logical functors. As any concept of a rule may stand for a whole class of elements, but in a given situational context only a selected set of combinations of the components of the concept forms valid examples of its intension, extension of knowledge based systems by facilities that allow processing of contextual information is desirable.
We have developed a model that enables us to represent contextuation in knowledge bases of hypertext systems and expert systems. The system is part of a shell that is implemented in PROLOG. The features supplied are context sensitive inference and context sensitive browsing. Although our proposal of context processing is not application specific — it relies mainly on classical t valued logic — especially planning tasks where legal prescriptions rule classes of problems seem to be able to benefit from it. It turns out that context sensitive knowledge processing can be regarded as a serious and viable alternative to the attempt to model ‚ague’ knowledge by means of fuzzy logic.
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© 1993 Springer-Verlag Berlin · Heidelberg
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Witulski, K. (1993). Context Sensitive Knowledge Processing. In: Opitz, O., Lausen, B., Klar, R. (eds) Information and Classification. Studies in Classification, Data Analysis and Knowledge Organization. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-50974-2_34
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DOI: https://doi.org/10.1007/978-3-642-50974-2_34
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