A federation model to support semantic SPARQL queries for enterprise data governance

Data Governance and Federation in large complex organizations poses non-trivial challenges due to the integration of heterogeneous, distributed data sources. Semantic Web, and its de-facto standard query language - SPARQL - have proven to be key in defining and searching semantic over any sort of content on the Web, thus easily letting content clients discover hidden relationships among disparate data. However, current SPARQL support of Data Federation is fairly limited, making it impractical for real-world scenarios. Our work proposes an open and autonomous platform for Data Federation that overcome traditional SPARQL limitations and opens up unprecedented opportunities for Data Governance in large organizations.