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Download PDF by Manuel Carro, Ricardo Peña: Practical Aspects of Declarative Languages: 12th

By Manuel Carro, Ricardo Peña

ISBN-10: 3642115020

ISBN-13: 9783642115028

This booklet constitutes the refereed court cases of the twelfth overseas Symposium on useful points of Declarative Languages, PADL 2010, held in Madrid, Spain, in January 2010, colocated with POPL 2010, the Symposium on rules of Programming Languages.

The 22 revised complete papers provided including 2 invited talks have been rigorously reviewed and chosen from fifty eight submissions. the quantity beneficial properties unique paintings emphasizing novel purposes and implementation ideas for all types of clarative thoughts, together with services, kinfolk, common sense, and constraints. The papers handle all present elements of declarative programming; they're geared up in topical sections on non-monotonic reasoning - resolution set programming, forms, parallelism and distribution, code caliber coverage, area particular languages, programming aids, constraints, and tabling - agents.

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Extra resources for Practical Aspects of Declarative Languages: 12th International Symposium, PADL 2010, Madrid, Spain, January 18-19, 2010, Proceedings (Lecture Notes in ... / Programming and Software Engineering)

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5341, pp. 119–134. Springer, Heidelberg (2008) 9. : The Stable Model Semantics for Logic Programming. In: Logic Programming: Proceedings Fifth Intl Conference and Symposium, pp. 1070–1080. MIT Press, Cambridge (1988) 10. : Classical Negation in Logic Programs and Disjunctive Databases 9, 365–385 (1991) 11. : On Indefinite Data Bases and the Closed World Assumption. W. ) CADE 1982. LNCS, vol. 138, pp. 292–308. Springer, Heidelberg (1982) 12. : Disjunctive Datalog. ACM Transactions on Database Systems 22(3), 364–418 (1997) 13.

We continue now by recalling the definition in [7] of an operator TK which allows conclusions to be drawn from positive hybrid MKNF knowledge bases. Definition 4. For K a positive DL-safe hybrid MKNF knowledge base, RK , DK , and TK are defined on the subsets of KA(K∗ ) as follows: RK (S) = S ∪ {KH | K contains a rule of the form (1) such that KAi ∈ S for each 1 ≤ i ≤ n} DK (S) = {Kξ | Kξ ∈ KA(K∗ ) and O ∪ SDL |= ξ} ∪ {KQ(b1 , . . , bn ) | KQ(a1 , . . , an ) ∈ S \ SDL , KQ(b1 , . . , bn ) ∈ KA(K∗ ), and O ∪ SDL |= ai ≈ bi for 1 ≤ i ≤ n} TK (S) = RK (S) ∪ DK (S) RK derives consequences from the rules while DK obtains knowledge from the ontology O, both from non-DL-atoms and the equalities occurring in O.

T. the standard one have been registered up to 86%9 with a quantifier free query over denial constraints. Note also that the best times are always registered when the proposed optimization is active. Our intuition about the “additivity” of the magic sets over our optimization has been confirmed by experimental results. In fact, the application of magic sets always improves its performance, at least on big data sets. As for the smallest data set, the overhead introduced by magic sets is sensible and the (initially small) response time increases in some cases.

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Practical Aspects of Declarative Languages: 12th International Symposium, PADL 2010, Madrid, Spain, January 18-19, 2010, Proceedings (Lecture Notes in ... / Programming and Software Engineering) by Manuel Carro, Ricardo Peña


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