Research and implementation of data fusion method based on RDF
Bin Yu, Chen Bo Calvin Zhang, Yitong Li, Jiangyan Sun · 2018
With the continuous development of Internet technology, more and more fields have posted data information on the Internet, the amount of data on the Internet is becoming more and more huge. In order to enable decision makers to find more accurate data, and make a correct judgment, data fusion technology becomes more and more important. The implementation of data fusion requires a unified management of the data, and the W3C proposes Resource Description Framework(RDF) that uses the triples to express data. The data fusion method based on REF effectively combine two matching triples which from different RDF files into a new triple representation. This can effectively reduce the number of recurring data and the difficulty of determining the accuracy of the data required by decision makers. As a result, we can provide more complete and comprehensive information to relevant users. In this paper, we use RDB to RDF Mapping Language (R2RML), SPARQL Protocol and RDF Query Language (SPARQL) and Jena framework to realize the data fusion operation, which based on the three triples form of RDF. According to the characteristics of data in Science and Technology Management Services Integrated Cloud Platform, a three-layer data fusion model is designed to implement the data fusion.