International Semantic Web Conference

The Semantic Web - ISWC 2015 pp 217-234

Mapping Analysis in Ontology-Based Data Access: Algorithms and Complexity

  • Domenico Lembo
  • Jose Mora
  • Riccardo Rosati
  • Domenico Fabio Savo
  • Evgenij Thorstensen
Conference paper

DOI: 10.1007/978-3-319-25007-6_13

Volume 9366 of the book series Lecture Notes in Computer Science (LNCS)
Cite this paper as:
Lembo D., Mora J., Rosati R., Savo D.F., Thorstensen E. (2015) Mapping Analysis in Ontology-Based Data Access: Algorithms and Complexity. In: Arenas M. et al. (eds) The Semantic Web - ISWC 2015. Lecture Notes in Computer Science, vol 9366. Springer, Cham

Abstract

Ontology-based data access (OBDA) is a recent paradigm for accessing data sources through an ontology that acts as a conceptual, integrated view of the data, and declarative mappings that connect the ontology to the data sources. We study the formal analysis of mappings in OBDA. Specifically, we focus on the problem of identifying mapping inconsistency and redundancy, two of the most important anomalies for mappings in OBDA. We consider a wide range of ontology languages that comprises OWL 2 and all its profiles, and examine mapping languages of different expressiveness over relational databases. We provide algorithms and establish tight complexity bounds for the decision problems associated with mapping inconsistency and redundancy. Our results prove that, in our general framework, such forms of mapping analysis enjoy nice computational properties, in the sense that they are not harder than standard reasoning tasks over the ontology or over the relational database schema.

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Copyright information

© Springer International Publishing Switzerland 2015

Authors and Affiliations

  • Domenico Lembo
    • 1
  • Jose Mora
    • 1
  • Riccardo Rosati
    • 1
  • Domenico Fabio Savo
    • 1
  • Evgenij Thorstensen
    • 2
  1. 1.Sapienza Università di RomaRomeItaly
  2. 2.University of OsloOsloNorway