Benchmark for Performance Evaluation of SHACL Implementations in Graph Databases
| Autor: | Robert Schaffenrath, Daniel Proksch, Iacopo Albasini, Anna Fensel, Oleksandra Panasiuk, Markus Kopp |
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| Rok vydání: | 2020 |
| Předmět: |
050101 languages & linguistics
Graph database Theoretical computer science Computer science Best practice 05 social sciences 02 engineering and technology computer.software_genre Field (computer science) Constraint (information theory) 0202 electrical engineering electronic engineering information engineering Benchmark (computing) Graph (abstract data type) 020201 artificial intelligence & image processing 0501 psychology and cognitive sciences Semantic Web computer Implementation |
| Zdroj: | Rules and Reasoning ISBN: 9783030579760 RuleML+RR |
| DOI: | 10.1007/978-3-030-57977-7_6 |
| Popis: | 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. |
| Databáze: | OpenAIRE |
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