@article{MAKHILLJEAS2018131716763,
    title = {An Approach for Big Data Interoperability},
    journal = {Journal of Engineering and Applied Sciences},
    volume = {13},
    number = {17},
    pages = {7323-7328},
    year = {2018},
    issn = {1816-949x},
    doi = {jeasci.2018.7323.7328},
    url = {https://makhillpublications.co/view-article.php?issn=1816-949x&doi=jeasci.2018.7323.7328},
    author = {Omar,Rachid,Mohamed,Zouhair Ibn and},
    keywords = {Big data interoperability,NoSQL databases,polyglot,persistence,ontologies,OWL},
    abstract = {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.}
    }