Disjunctive Datalog

Disjunctive Datalog is an extension of the logic programming language Datalog that allows disjunctions in the heads of rules. This extension enables disjunctive Datalog to express several NP-hard problems that are not known to be expressable in plain Datalog. Disjunctive Datalog has been applied in the context of reasoning about ontologies in the semantic web.[1] DLV is an implementation of disjunctive Datalog.

Syntax

A disjunctive Datalog program is a collection of rules. A rule is a clause of the form:[2]

where , ..., may be negated, and may include (in)equality constraints.

Semantics

There are at least three ways to define the semantics of disjunctive Datalog:[3]

  • Minimal model semantics
  • Perfect model semantics
  • Disjunctive stable model semantics, which generalizes the stable model semantics

Expressivity

Disjunctive Datalog can express several NP-complete and NP-hard problems, including the travelling salesman problem, graph coloring, maximum clique problem, and minimal vertex cover.[3] These problems are only expressible in Datalog if the polynomial hierarchy collapses.

See also

Sources

Notes

  1. Kaminski, Mark; Nenov, Yavor; Grau, Bernardo Cuenca (2014-06-21). "Datalog Rewritability of Disjunctive Datalog Programs and its Applications to Ontology Reasoning". Proceedings of the AAAI Conference on Artificial Intelligence. 28 (1). doi:10.1609/aaai.v28i1.8854. ISSN 2374-3468. S2CID 17098158.
  2. Eiter, Gottlob & Mannila 1997, p. 370.
  3. Eiter, Gottlob & Mannila 1997.

References

This article is issued from Wikipedia. The text is licensed under Creative Commons - Attribution - Sharealike. Additional terms may apply for the media files.