KNOWLEDGE MODELING FOR A RELATIONAL DATABASE IN ONTOLOGY WEB LANGUAGE (OWL)

Authors

  • Huỳnh Tuấn Anh The Faculty of Information Technology, Nhatrang University, Viet Nam

DOI:

https://doi.org/10.37569/DalatUniversity.7.2.237(2017)

Keywords:

Mapping, Ontology, OWL, Relational Database, RDF, RDFS, Semantic web.

Abstract

This paper presents a knowledge modeling method by Ontology Web Language (OWL) for a relational database. The proposed method contains the rules for transforming data in a relational database into Ontology and Axioms for supplementing meaning of a relational database. Based on these rules, data in a relational database could be converted into triples Resource Description Framework (RDF)/OWL for Semantic web applications.

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References

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Published

28-06-2017

Volume and Issues

Section

Natural Sciences and Technology

How to Cite

Anh, H. T. (2017). KNOWLEDGE MODELING FOR A RELATIONAL DATABASE IN ONTOLOGY WEB LANGUAGE (OWL). Dalat University Journal of Science, 7(2), 175-191. https://doi.org/10.37569/DalatUniversity.7.2.237(2017)