Semantic SPARQL queries: a novel federation model and implementation towards Enterprise Data Governance

Data Governance and Federation in large complex organizations pose 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 information clients discover hidden relationships among very heterogeneous data. However, current SPARQL support Data Federation is fairly limited, making it impractical for real-world scenarios. Our work proposes an open and autonomous platform for Data Federation that overcomes traditional SPARQL limitations and opens up unprecedented opportunities for Data Governance in large organizations.