@inproceedings{a100fb67219d42619b36d89d1fa3c173,
title = "Research on big data integration based on Karma modeling",
abstract = "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 Prot{\'e}g{\'e} 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.",
keywords = "Karma modeling, RDF data, big data integration, ontology",
author = "Wang Xiao and Li Guoqi and Liu Bin",
note = "Publisher Copyright: {\textcopyright} 2017 IEEE.; 8th IEEE International Conference on Software Engineering and Service Science, ICSESS 2017 ; Conference date: 24-11-2017 Through 26-11-2017",
year = "2017",
month = jul,
day = "2",
doi = "10.1109/ICSESS.2017.8342906",
language = "英语",
series = "Proceedings of the IEEE International Conference on Software Engineering and Service Sciences, ICSESS",
publisher = "IEEE Computer Society",
pages = "245--248",
editor = "Li Wenzheng and Babu, \{M. Surendra Prasad\} and Lei Xiaohui",
booktitle = "ICSESS 2017 - Proceedings of 2017 IEEE 8th International Conference on Software Engineering and Service Science",
address = "美国",
}