Relaxing and Restraining Queries for OBDA

Medina Andresel, Yazmín Ibáñez-García, Magdalena Ortiz, Mantas Simkus

AAAI 2019 pp. 2654-2661

doi:10.1609/AAAI.V33I01.33012654 /aaai/2019/andresel2019aaai-relaxing/

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.

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Cite

Text

Andresel et al. "Relaxing and Restraining Queries for OBDA." AAAI Conference on Artificial Intelligence, 2019. doi:10.1609/AAAI.V33I01.33012654

Markdown

[Andresel et al. "Relaxing and Restraining Queries for OBDA." AAAI Conference on Artificial Intelligence, 2019.](https://mlanthology.org/aaai/2019/andresel2019aaai-relaxing/) doi:10.1609/AAAI.V33I01.33012654

BibTeX

@inproceedings{andresel2019aaai-relaxing,
  title     = {{Relaxing and Restraining Queries for OBDA}},
  author    = {Andresel, Medina and Ibáñez-García, Yazmín and Ortiz, Magdalena and Simkus, Mantas},
  booktitle = {AAAI Conference on Artificial Intelligence},
  year      = {2019},
  pages     = {2654-2661},
  doi       = {10.1609/AAAI.V33I01.33012654},
  url       = {https://mlanthology.org/aaai/2019/andresel2019aaai-relaxing/}
}