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

Ji-Woong Choi (최지웅)

doi:10.9708/jksci.2020.25.10.023

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

Journal of The Korea Society of Computer and Information
Abbr : JKSCI
2020, 25(10), pp.23-34
DOI : 10.9708/jksci.2020.25.10.023
Publisher : The Korean Society Of Computer And Information
Research Area : Engineering > Computer Science
Received : September 3, 2020
Accepted : September 22, 2020
Published : October 30, 2020

Ji-Woong Choi ¹

¹숭실대학교

Accredited

ABSTRACT

In this paper, we proposes a method to automatically construct SHACL schemas for RDF knowledge graphs(KGs) generated by Direct Mapping(DM). DM and SHACL are all W3C recommendations. DM consists of rules to transform the data in an RDB into an RDF graph. SHACL is a language to describe and validate the structure of RDF graphs. The proposed method automatically translates the integrity constraints as well as the structure information in an RDB schema into SHACL. Thus, our SHACL schemas are able to check integrity instead of RDBMSs. This is a consideration to assure database consistency even when RDBs are served as virtual RDF KGs. We tested our results on 24 DM test cases, published by W3C. It was shown that they are effective in describing and validating RDF KGs.

KEYWORDS

Knowledge graph, RDF, SHACL, Direct Mapping, 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 Direct 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 Direct Mappings

ABSTRACT

KEYWORDS

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REFERENCES (22) * References for papers published after 2023 are currently being built.

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