Cardiff University | Prifysgol Caerdydd ORCA
Online Research @ Cardiff 
WelshClear Cookie - decide language by browser settings

Relaxing and restraining queries for OBDA

Andreşel, Medina, Ibáñez-García, Yazmín, Ortiz, Magdalena and Šimkus, Mantas 2019. Relaxing and restraining queries for OBDA. Presented at: AAAI-2019: 33rd AAAI Conference on Artificial Intelligence, Honololu, HI, USA, 27 January - 1 February 2019. Proceedings of the AAAI Conference on Artificial Intelligence. , vol. 1. Palo Alto, California, USA: AAAI, pp. 2654-2661. 10.1609/aaai.v33i01.33012654

[thumbnail of AAAI-AndreselM.5286.pdf]
PDF - Accepted Post-Print Version
Download (387kB) | Preview


We advocate the use of ontologies for relaxing and restraining queries, so that they retrieve either more or less answers, enabling the exploration of a given dataset. We propose a set of rewriting rules to relax and restrain conjunctive queries (CQs) over datasets mediated by an ontology written in a dialect of DL-Lite with complex role inclusions (CRIs). The addition of CRI enables the representation of knowledge about data involving ordered hierarchies of categories, in the style of multi-dimensional data models. Although CRIs in general destroy the first-order rewritability of CQs, we identify settings in which CQs remain rewritable.

Item Type: Conference or Workshop Item (Paper)
Date Type: Publication
Status: Published
Schools: Computer Science & Informatics
Publisher: AAAI
ISBN: 9781577358091
Date of First Compliant Deposit: 1 April 2020
Date of Acceptance: 1 November 2018
Last Modified: 27 Jul 2020 11:00

Actions (repository staff only)

Edit Item Edit Item


Downloads per month over past year

View more statistics