The Bag Semantics of Ontology-Based Data Access

Conference item

Ontology-based data access (OBDA) is a popular approach for integrating and querying multiple data sources by means of a shared ontology. The ontology is linked to the sources using mappings, which assign views over the data to ontology predicates. Motivated by the need for OBDA systems supporting database-style aggregate queries, we propose a bag semantics for OBDA, where duplicate tuples in the views defined by the mappings are retained, as is the case in standard databases. We show that bag semantics makes conjunctive query answering in OBDA CONP-hard in data complexity. To regain tractability, we consider a rather general class of queries and show its rewritability to a generalisation of the relational calculus to bags.

Authors: Nikolaou, C; Kostylev, E; Konstantinidis, G; Kaminski, M; Cuenca Grau, B

• Publication status: Published
• Peer review status: Peer reviewed
• Publisher: AAAI Press / International Joint Conferences on Artificial Intelligence
• Host title: IJCAI'17: 26th International Joint Conference on Artificial Intelligence
• Journal: IJCAI'17: 26th International Joint Conference on Artificial Intelligence
• Pages: 1224-1230
• Publication date: 2017-08-25
• Acceptance date: 2017-04-17
• Event start date: 2017-08-19
• Event end date: 2017-08-25
• DOI: 10.24963/ijcai.2017/170
• ISBN: 9780999241103