Complexity of the Stable Model Semantics for Queries on Incomplete Databases

  • Authors:
  • Jos Bruijn;Stijn Heymans

  • Affiliations:
  • KRDB Research Center, Free University of Bozen-Bolzano, Italy;Institute of Information Systems, Vienna University of Technology, Austria

  • Venue:
  • LPNMR '09 Proceedings of the 10th International Conference on Logic Programming and Nonmonotonic Reasoning
  • Year:
  • 2009

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Abstract

We study the complexity of consistency checking and query answering on incomplete databases for languages ranging from non-recursive Datalog to disjunctive Datalog with negation under the stable model semantics. We consider both possible and certain answers and both closed- and open-world interpretation of C-databases with and without conditions. By reduction to stable models of logic programs we find that, under closed-world interpretation, adding negation to (disjunctive) Datalog does not increase the complexity of the considered problems for C-databases, but certain answers for databases without conditions are easier for Datalog without than with negation. Under open-world interpretation, adding negation to non-recursive Datalog already leads to undecidability, but the complexity of certain answers for negation-free queries is the same as under closed-world interpretation.