Research Article
Semantic SPARQL queries: a novel federation model and implementation towards Enterprise Data Governance
@INPROCEEDINGS{10.4108/eai.25-10-2016.2267042, author={Mirco Casoni and Stefano Monti and Francesco Sprotetto and Antonio Corradi and Luca Foschini and Riccardo Venanzi}, title={Semantic SPARQL queries: a novel federation model and implementation towards Enterprise Data Governance}, proceedings={10th EAI International Conference on Performance Evaluation Methodologies and Tools}, publisher={ACM}, proceedings_a={VALUETOOLS}, year={2017}, month={5}, keywords={enterprise data governance federation semantic web}, doi={10.4108/eai.25-10-2016.2267042} }- Mirco Casoni
Stefano Monti
Francesco Sprotetto
Antonio Corradi
Luca Foschini
Riccardo Venanzi
Year: 2017
Semantic SPARQL queries: a novel federation model and implementation towards Enterprise Data Governance
VALUETOOLS
ACM
DOI: 10.4108/eai.25-10-2016.2267042
Abstract
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.
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