Knowledge Acquisition, Modeling and Management: 10th by Ghassan Beydoun, Achim Hoffmann (auth.), Enric Plaza,

By Ghassan Beydoun, Achim Hoffmann (auth.), Enric Plaza, Richard Benjamins (eds.)

This quantity constitutes the refereed complaints of the tenth eu Workshop on wisdom Acquisition, Modelling and administration, EKAW '97, held in Sant Feliu de Guixols, Catalonia, Spain, in October 1997.
The 20 revised complete papers and eleven brief papers awarded have been conscientiously chosen from quite a few submissions. additionally incorporated is one invited presentation. one of the themes coated are the mainstream wisdom acquisition concerns, but in addition extra cutting edge ones, wisdom integration, company modelling, wisdom reuse, normal language processing, challenge fixing, wisdom extraction, Web-based wisdom platforms, laptop studying, information mining, etc.

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Extra resources for Knowledge Acquisition, Modeling and Management: 10th European Workshop, EKAW '97 Sant Feliu de Guixols, Catalonia, Spain October 15–18, 1997 Proceedings

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If rhs(sx , cx ) =∅, then set [sx , cx ] to [sx , rhs(sx , cx )]. 4. Repeat until no more changes are made – For every term t appearing in sx , in increasing order of size, do • Let [sx , cx ] be the multi-clause obtained after removing from [sx , cx ] all those literals containing t. • If rhs(sx , cx ) =∅, then set [sx , cx ] to [sx , rhs(sx , cx )]. 5. Return [sx , cx ]. Fig. 3. The minimisation procedure counterexample’s antecedent: sx (line 2). This can be done by forward chaining using the hypothesis’ clauses, starting with the literals in antecedent(x).

Inductive Logic Programming (ILP) deals with learning first order logic programs. Very recently the expressiveness of the target language was extended to prenex conjunctive normal forms [20] by allowing existential quantifiers in the language. Description Logics (DL), on the other hand, are a different kind of knowledge representation language used for representing structural knowledge and J. Cussens and A. ): ILP 2000, LNAI 1866, pp. 40–59, 2000. c Springer-Verlag Berlin Heidelberg 2000 A Refinement Operator for Description Logics 41 concept hierarchies.

Ineq(st ) · θ · θt ⊆ ineq(sx ). Let t1 , t2 two distinct terms of st . We have to show that t1 · θ · θt and t2 · θ · θt are two different terms of sx and therefore their inequality appears in ineq(sx ). It is easy to see that they are terms of sx since st · θ · θt ⊆ sx . To see that they are also different terms, notice first that t1 · θ and t2 · θ are different terms of sx , since the clause ineq(st ), st → bt is captured by [sx , cx ]. It is sufficient to show that if t1 , t2 are any two distinct terms of sx , then t1 · θt and t2 · θt are also distinct terms.

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