Ontology-Mediated Queries for NOSQL Databases

Marie-Laure Mugnier, Marie-Christine Rousset, Federico Ulliana

AAAI 2016 pp. 1051-1057

doi:10.1609/AAAI.V30I1.10112 /aaai/2016/mugnier2016aaai-ontology/

Abstract

Ontology-Based Data Access has been studied so far for relational structures and deployed on top of relational databases. This paradigm enables a uniform access to heterogeneous data sources, also coping with incomplete information. Whether OBDA is suitable also for non-relational structures, like those shared by increasingly popular NOSQL languages, is still an open question. In this paper, we study the problem of answering ontology-mediated queries on top of key-value stores. We formalize the data model and core queries of these systems, and introduce a rule language to express lightweight ontologies on top of data. We study the decidability and data complexity of query answering in this setting.

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Text

Mugnier et al. "Ontology-Mediated Queries for NOSQL Databases." AAAI Conference on Artificial Intelligence, 2016. doi:10.1609/AAAI.V30I1.10112

Markdown

[Mugnier et al. "Ontology-Mediated Queries for NOSQL Databases." AAAI Conference on Artificial Intelligence, 2016.](https://mlanthology.org/aaai/2016/mugnier2016aaai-ontology/) doi:10.1609/AAAI.V30I1.10112

BibTeX

@inproceedings{mugnier2016aaai-ontology,
  title     = {{Ontology-Mediated Queries for NOSQL Databases}},
  author    = {Mugnier, Marie-Laure and Rousset, Marie-Christine and Ulliana, Federico},
  booktitle = {AAAI Conference on Artificial Intelligence},
  year      = {2016},
  pages     = {1051-1057},
  doi       = {10.1609/AAAI.V30I1.10112},
  url       = {https://mlanthology.org/aaai/2016/mugnier2016aaai-ontology/}
}