Mapping Repair in Ontology-based Data Access Evolving Systems

Lembo, Domenico; Rosati, Riccardo; Santarelli, Valerio; Savo, Domenico Fabio; Thorstensen, Evgenij
Chapter; AcceptedVersion; Peer reviewed
View/Open
Year
2017
Permanent link
http://urn.nb.no/URN:NBN:no-67802

CRIStin
1515573

Is part of
IJCAI International Joint Conference on Artificial Intelligence
Metadata
Show metadata
Appears in the following Collection
Original version
Proceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence. 2017, 1160-1166, DOI: http://dx.doi.org/10.24963/ijcai.2017/161
Abstract
In this paper we study the evolution of ontologybased 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.

© 2017 Lawrence Erlbaum Associates, Inc.