Ontology-Mediated Queries for NOSQL Databases

Marie-Laure Mugnier 1, 2 Marie-Christine Rousset 3, 4 Federico Ulliana 2, 1
1 GRAPHIK - Graphs for Inferences on Knowledge
LIRMM - Laboratoire d'Informatique de Robotique et de Microélectronique de Montpellier, CRISAM - Inria Sophia Antipolis - Méditerranée
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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Communication dans un congrès
AAAI: Conference on Artificial Intelligence, Feb 2016, Phoenix, United States. Thirtieth AAAI Conference on Artificial Intelligence (AAAI-16), 2016
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https://hal-lirmm.ccsd.cnrs.fr/lirmm-01242913
Contributeur : Marie-Laure Mugnier <>
Soumis le : lundi 14 décembre 2015 - 12:10:03
Dernière modification le : vendredi 12 janvier 2018 - 01:48:23
Document(s) archivé(s) le : samedi 29 avril 2017 - 13:03:43

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obda-keyval.pdf
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  • HAL Id : lirmm-01242913, version 1

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Marie-Laure Mugnier, Marie-Christine Rousset, Federico Ulliana. Ontology-Mediated Queries for NOSQL Databases. AAAI: Conference on Artificial Intelligence, Feb 2016, Phoenix, United States. Thirtieth AAAI Conference on Artificial Intelligence (AAAI-16), 2016. 〈lirmm-01242913〉

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