English

On the satisfiability problem for SPARQL patterns

Databases 2016-06-03 v2 Artificial Intelligence

Abstract

The satisfiability problem for SPARQL patterns is undecidable in general, since the expressive power of SPARQL 1.0 is comparable with that of the relational algebra. The goal of this paper is to delineate the boundary of decidability of satisfiability in terms of the constraints allowed in filter conditions. The classes of constraints considered are bound-constraints, negated bound-constraints, equalities, nonequalities, constant-equalities, and constant-nonequalities. The main result of the paper can be summarized by saying that, as soon as inconsistent filter conditions can be formed, satisfiability is undecidable. The key insight in each case is to find a way to emulate the set difference operation. Undecidability can then be obtained from a known undecidability result for the algebra of binary relations with union, composition, and set difference. When no inconsistent filter conditions can be formed, satisfiability is efficiently decidable by simple checks on bound variables and on the use of literals. The paper also points out that satisfiability for the so-called `well-designed' patterns can be decided by a check on bound variables and a check for inconsistent filter conditions.

Keywords

Cite

@article{arxiv.1406.1404,
  title  = {On the satisfiability problem for SPARQL patterns},
  author = {Xiaowang Zhang and Jan Van den Bussche and François Picalausa},
  journal= {arXiv preprint arXiv:1406.1404},
  year   = {2016}
}

Comments

Major revision, erroneous polynomial-time claims corrected, NP-completeness result added, detailed proofs added, experimental section added

R2 v1 2026-06-22T04:31:46.884Z