Rewriting Conjunctive Queries over Description Logic Knowledge Bases

  • Authors:
  • Héctor Pérez-Urbina;Boris Motik;Ian Horrocks

  • Affiliations:
  • Computing Laboratory, University of Oxford, Oxford, UK;Computing Laboratory, University of Oxford, Oxford, UK;Computing Laboratory, University of Oxford, Oxford, UK

  • Venue:
  • Semantics in Data and Knowledge Bases
  • Year:
  • 2008

Quantified Score

Hi-index 0.00

Visualization

Abstract

We consider the problems of conjunctive query answering and rewriting for information integration systems in which a Description Logic ontology is used to provide a global view of the data. We present a resolution-based query rewriting algorithm for DL-Lite + ontologies, and use it to show that query answering in this setting is NLogSpace-complete with respect to data complexity. We also show that our algorithm produces an optimal rewriting when the input ontology is expressed in the language DL-Lite. Finally, we sketch an extended version of the algorithm that would, we are confident, be optimal for several DL languages with data complexity of query answering ranging from LogSpaceto PTime-complete.