Research on big data integration based on Karma modeling

Aiming at the problem of data integration about heterogeneous and large amount of data in big data 4V features, the method of data integration based on Karma modeling is explored, and the data set of literature area is used as an example to verify the method. First of all, analyze specifically part of the literature data sets that are obtained. And then using Protégé ontology modeling tool to build the related domain ontology. Through the Karma modeling tool, the literature data set is mapped to the literature domain ontology and uniformly published as RDF data so that the semantic mapping is achieved, which effectively solve the important problem of multi-source and heterogeneous data. The Karma model that is built and published will be applied to complete big data set for big data integration. Finally, we sum up the results of the practice and address our future works.