Deriving information from inconsistent knowledge bases : a probablistic approach
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منابع مشابه
Managing Inconsistent Possibilistic Knowledge Bases by An Argumentation Approach
Inconsistent knowledge bases usually are regarded as an epistemic hell that have to be avoided at all costs. However, many times it is di cult or impossible to stay away of managing inconsistent knowledge bases. In this paper, we introduce an argumentation-based approach in order to manage inconsistent possibilistic knowledge bases. This approach will be exible enough for managing inconsistent ...
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When integrating data coming from multiple different sources we are faced with the possibility of inconsistency in databases. A paraconsistent approach for knowledge base integration allows keeping inconsistent information and reasoning in its presence. In this paper, we use a paraconsistent logic (LFI1) as the underlying logic for the specification of P-Datalog, a deductive query language for ...
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Possibilistic logic is a well-known framework for dealing with uncertainty and reasoning under inconsistent knowledge bases. Standard possibilistic logic expressions are propositional logic formulas associated with positive real degrees belonging to [0,1]. However, in practice it may be difficult for an expert to provide exact degrees associated with formulas of a knowledge base. This paper pro...
متن کاملA Bilattice-based Approach to Recover Consistent Data from Inconsistent Knowledge-Bases
Bilaitices, which have been shown to be very useful in logic programming, are used here for recovering consistent data from an inconsistent knowledge-base. Our method is coaseroative in the sense that it considers the contradictory data as useless, and regards all the remaining information unaffected. This kind of approach is nonmonotonic and paraconsistent in nature.
متن کاملA Four-valued Approach for Handling Inconsistency in Prioritized Knowledge-bases
The use of priorities among formulae is an important tool to appropriately revise inconsistent knowledge-bases. We present a four-valued semantical approach for recovering consistent data from prioritized knowledge-bases. This approach is nonmonotonic and paraconsistent in nature.
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تاریخ انتشار 2009