Use of semantic web technologies to integrate big data

Applications will have to address the integration of numerous diverse data sources in order to achieve the promise of Big Data. This activity poses a variety of problems due to data heterogeneity, which may not be fully addressed by existing Extract-Transform-Load (ETL)-based frameworks. The potential of Semantic Web Technologies as a way of integrating and developing Big Data applications is explored in this article. A use case study investigating supplier chain activities is given as an example. We also go through the general problems of data integration in this area. Big Data concept of variety is a broadening of semantic heterogeneity as researched in databases, artificial intelligence, the semantic web, and cognitive science. To reach the aim of extracting maximum value from Big Data collections, one must have the ability to swiftly define and execute strategies across extraordinarily massive data sets.