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http://dx.doi.org/10.9708/jksci.2020.25.08.009

Automatic Construction of SHACL Schemas for RDF Knowledge Graphs Generated by R2RML Mappings  

Choi, Ji-Woong (School of Computer Science and Engineering, Soongsil University)
Publication Information
Journal of the Korea Society of Computer and Information / v.25, no.8, 2020 , pp. 9-21 More about this Journal
Abstract
With the proliferation of RDF knowledge graphs(KGs), there arose a need of a standardized schema representation of the graph model for effective data interchangeability and interoperability. The need resulted in the development of SHACL specification to describe and validate RDF graph's structure by W3C. Relational databases(RDBs) are one of major sources for acquiring structured knowledge. The standard for automatic generation of RDF KGs from RDBs is R2RML, which is also developed by W3C. Since R2RML is designed to generate only RDF data graphs from RDBs, additional manual tasks are required to create the schemas for the graphs. In this paper we propose an approach to automatically generate SHACL schemas for RDF KGs populated by R2RML mappings. The key of our approach is that the SHACL shemas are built only from R2RML documents. We describe an implementation of our appraoch. Then, we show the validity of our approach with R2RML test cases designed by W3C.
Keywords
Knowledge graph; RDF; SHACL; R2RML; RDF validation;
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