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

Ji-Woong Choi (최지웅)

doi:10.9708/jksci.2020.25.08.009

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

Journal of The Korea Society of Computer and Information
Abbr : JKSCI
2020, 25(8), pp.9-21
DOI : 10.9708/jksci.2020.25.08.009
Publisher : The Korean Society Of Computer And Information
Research Area : Engineering > Computer Science
Received : June 8, 2020
Accepted : August 11, 2020
Published : August 31, 2020

Ji-Woong Choi ¹

¹숭실대학교

Accredited

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

Citation status

* References for papers published after 2023 are currently being built.

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KJCKorea
Journal Central

Journal of The Korea Society of Computer and Information 2023 KCI Impact Factor : 0.65

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

ABSTRACT

KEYWORDS

Citation status

* References for papers published after 2023 are currently being built.

Journal of The Korea Society of Computer and Information 2023 KCI Impact Factor : 0.65

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

ABSTRACT

KEYWORDS

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REFERENCES (25) * References for papers published after 2023 are currently being built.

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* References for papers published after 2023 are currently being built.