TY  - JOUR
T1  - An Approach for Big Data Interoperability
AU - Hajoui, Omar AU - Dehbi, Rachid AU - Talea, Mohamed AU - Batouta, Zouhair Ibn AU - Bakhouyi, Abdellah 
JO  - Journal of Engineering and Applied Sciences
VL  - 13
IS  - 17
SP  - 7323
EP  - 7328
PY  - 2018
DA  - 2001/08/19
SN  - 1816-949x
DO  - jeasci.2018.7323.7328
UR  - https://makhillpublications.co/view-article.php?doi=jeasci.2018.7323.7328
KW  - Big data interoperability
KW  -NoSQL databases
KW  -polyglot
KW  -persistence
KW  -ontologies
KW  -OWL
AB  - NoSQL databases are increasingly used in big data and real-time web applications. But these
databases are heterogeneous. They offer different data storage models, implementations and languages to
developers and users. This wide variety of platforms makes it difficult data interoperability, data integration and
even data migration from one system to another. This study proposes a literature review of study related to big
data interoperability, the purpose of this study is to present and discuss the proposed solutions. Although,
these solutions are ambitious, they neglect the semantic aspect of data that is considered a main axis in an
effective solution to data interoperability. In this study, we present a new approach to data interoperability for
NoSQL databases, in particular, it is addresses the data semantics problem.
ER  -