Integration of Big Data Using Semantic Web Technologies

In order to realize the promise of Big Data, applications will have to consider the integration of many disparate data sources. Due to data heterogeneity, this task presents a number of challenges that may not be completely resolved with existing Extract-Transform-Load (ETL)-based frameworks. In this paper, we explore the potential of Semantic Web Technologies as a means of integration and development of Big Data applications. In demonstration, a usage case study is presented examining supplier chain operations. Additionally, we review the overall challenges of data integration in this area.