Integration of Big Data Using Semantic Web Technologies
David Alfred Ostrowski, Nestor Rychtyckyj, Perry MacNeille, Mira Kim · 2016
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.