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Enforcing scalable authorization on SPARQL queries

, , and . Joint Proceedings of the Posters and Demos Track of the 12th International Conference on Semantic Systems - SEMANTiCS2016 and the 1st International Workshop on Semantic Change & Evolving Semantics (SuCCESS'16), Leipzig, Germany, (September 2016)

Abstract

With the adoption of the Linked Data Paradigm in the enterprise context effective measures for securing sensitive data are in higher demand than ever before. Exemplary, integrating enterprise systems containing millions of assets and fine granular access control rules with large public background knowledge graphs leads to both a high number of triples and a high number of access control axioms, which traditional methods struggle to process. Therefore, we introduce novel approaches for enforcing access control on SPARQL queries and evaluate their implementation using an extension of the Berlin SPARQL Benchmark. Additionally, we discuss strengths and weaknesses of the respective approaches and outline future work.

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