Applications of Declarative Programming and Knowledge by Thomas Eiter, Michael Fink, Giovambattista Ianni, Peter

By Thomas Eiter, Michael Fink, Giovambattista Ianni, Peter Schüller (auth.), Hans Tompits, Salvador Abreu, Johannes Oetsch, Jörg Pührer, Dietmar Seipel, Masanobu Umeda, Armin Wolf (eds.)

This booklet constitutes revised chosen papers of the nineteenth foreign convention on functions of Declarative Programming and information administration, INAP 2011, and the twenty fifth Workshop on common sense Programming, WLP 2011, held in Vienna, Austria, in September 2011. the nineteen papers provided during this quantity have been rigorously reviewed and chosen from 27 papers awarded on the convention and first and foremost a complete of 35 submissions. The ebook additionally comprises the papers of 2 invited talks. The papers are prepared in topical sections on languages; answer-set programming and abductive reasoning; constraints and common sense programming; answer-set programming and version enlargement; program papers; and approach descriptions.

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Extra resources for Applications of Declarative Programming and Knowledge Management: 19th International Conference, INAP 2011, and 25th Workshop on Logic Programming, WLP 2011, Vienna, Austria, September 28-30, 2011, Revised Selected Papers

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Yn ] {o, r} [w : l] where #g is an action predicate name, Y1 , . . , Yn is a list of terms (called input list), and each action predicate #g has fixed length in(#g) = n for its input list. Attribute o ∈ {b, c, cp } is called the action option; depending on o the action atom is called brave, cautious, and preferred cautious, respectively. Attributes r, w, and l are called precedence, weight, and level of #g, denoted by prec(a), weight(a), and level (a), respectively. They are optional and range over variables and positive integers.

Ck ](C) realizes value invention and has as semantics function f&id k (E, I, c1 , . . , ck , C) = 1 for one constant C = auxc c1 . . ck created from the constants in tuple c1 , . . , ck . 3. , one, two, or three). The first two steps transform impl actions into acthex actions, and #id k value invention into external atom calls. The third step essentially creates policy The IMPL Policy Language for Managing Inconsistency 23 input facts from acthex external sources. External atoms in Pin return a representation of M and analyze inconsistency in M , providing minimal diagnoses and minimal explanations.

AICs extend integrity constraints by introducing update actions, for inserting and deleting tuples, to be performed if the constraint is not satisfied. On the other hand, an IMP is a function which is defined wrt. a set of functional dependencies mapping a given relation R to a ‘modified’ relation R∼ obeying some basic axioms. Although suitable impl policy encodings can mimic database repair programs—AICs and (certain) IMPs—for specific classes of integrity constraints, there are fundamental conceptual differences between impl and the above approaches to database repair.

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