Mapping Repair in Ontology-based Data Access Evolving Systems

Mapping Repair in Ontology-based Data Access Evolving Systems

Domenico Lembo, Riccardo Rosati, Valerio Santarelli, Domenico Fabio Savo, Evgenij Thorstensen

Proceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence
Main track. Pages 1160-1166. https://doi.org/10.24963/ijcai.2017/161

In this paper we study the evolution of ontology-based data access (OBDA) specifications, and focus on the case in which the ontology and/or the data source schema change, which may require a modification to the mapping between them to preserve both consistency and knowledge. Our approach is based on the idea of repairing the mapping according to the usual principle of minimal change and on a recent, mapping-based notion of consistency of the specification. We define and analyze two notions of mapping repair under ontology and source schema update. We then present a set of results on the complexity of query answering in the above framework, when the ontology is expressed in DL-LiteR.
Keywords:
Knowledge Representation, Reasoning, and Logic: Computational Complexity of Reasoning
Knowledge Representation, Reasoning, and Logic: Description Logics and Ontologies
Knowledge Representation, Reasoning, and Logic: Reasoning about Knowlege and Belief