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]

${\displaystyle a_{1}\vee \dots \vee a_{n}\leftarrow b_{1}\wedge \dots \wedge b_{m}\quad 1\leq n,0\leq m}$

where ${\displaystyle b_{1}}$, ..., ${\displaystyle b_{m}}$ 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.

Implementations

The DLV (DataLog with Disjunction, where the logical disjunction symbol V is used) system implements the disjunctive stable model semantics.^[4]

See also

• Syntax and semantics of logic programming

Sources