On The Potential Integration of an Ontology-Based Data Access Approach in NoSQL Stores

On The Potential Integration of an Ontology-Based Data Access Approach in NoSQL Stores

Oliver Curé, Fadhela Kerdjoudj, David Faye, Chan Le Duc, Myriam Lamolle
Copyright: © 2013 |Pages: 14
DOI: 10.4018/jdst.2013070102
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Abstract

NoSQL stores are emerging as an efficient alternative to relational database management systems in the context of big data. Many actors in this domain consider that to gain a wider adoption, several extensions have to be integrated. Some of them focus on the ways of proposing more schemas, supporting adapted declarative query languages and providing integrity constraints in order to control data consistency and enhance data quality. The authors consider that these issues can be dealt with in the context of Ontology Based Data Access (OBDA). OBDA is a new data management paradigm that exploits the semantic knowledge represented in ontologies when querying data stored in a database. They provide a proof of concept of OBDA's ability to tackle these three issues in a social application related to the medical domain.
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Background Knowledge

In this section, we introduce the main notions needed to understand the concepts used in this paper.

Basically, we present the main characteristics of DLs and in particular the DLs that are used by OBDA in the context of the Semantic Web. Then, we present some of the most popular NoSQL data models, i.e. document and column family stores.

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