Abstract
Due to the rise in the commercial usage of knowledge graphs, the validation of graph-based data has gained importance over the past few years in the field of Semantic Web. In spite of this trend, the number of graph databases that support W3C’s validation specification Shapes Constraint Language (SHACL) can still be regarded as low, and best practices for their SHACL implementations performance evaluation are lacking. In this paper, we propose a benchmark for performance evaluation of SHACL implementations and present an evaluation of five common graph databases using the benchmark.
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CITATION STYLE
Schaffenrath, R., Proksch, D., Kopp, M., Albasini, I., Panasiuk, O., & Fensel, A. (2020). Benchmark for Performance Evaluation of SHACL Implementations in Graph Databases. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 12173 LNCS, pp. 82–96). Springer. https://doi.org/10.1007/978-3-030-57977-7_6
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