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http://dx.doi.org/10.9708/jksci.2022.27.09.077

Automatic Creation of SHACL Schemas for Validation of RDF Knowledge Graph Structures Based on RML Mappings  

Choi, Ji-Woong (School of Computer Science and Engineering, Soongsil University)
Publication Information
Journal of the Korea Society of Computer and Information / v.27, no.9, 2022 , pp. 77-89 More about this Journal
Abstract
In this paper, we propose a system which automatically generates SHACL schemas to describe and validate RDF knowledge graphs constructed by RML mappings. Unlike existing studies, the proposed system generates the schemas based on not only RML mapping rules but also metadata extracted from RML mapping input data in various formats such as CSV, JSON, XML or databases. Therefore, our schemas include the constraints on data type, string length, value range and cardinality, which were not present in the existing schemas. And we solves the problem with "repeated properties" which overlooked in existing studies. Through a conformance test consisting of 297 cases, we show that the proposed system generates correct constraints for the graphs. The proposed system can contribute to automation of the tedious and error-prone existing manual validation processes.
Keywords
RML; SHACL; RDF; Knowledge Graph; Validation;
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