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.33
(1)
Palo Alto, California, USA:
AAAI,
pp. 2654-2661.
10.1609/aaai.v33i01.33012654
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Official URL: http://dx.doi.org/10.1609/aaai.v33i01.33012654
Abstract
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: | 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 |
| URI: | https://orca.cardiff.ac.uk/id/eprint/130679 |
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