Semantic SPARQL Query in a Relational Database Based on Ontology Construction

Hazber, MAG; Li, R; Gu, X; Xu, G; Li, Y

Semantic SPARQL Query in a Relational Database Based on Ontology Construction

Hazber, MAG Li, R Gu, X

Xu, G

Li, Y

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Publication Type:: Conference Proceeding
Citation:: Proceedings - 2015 11th International Conference on Semantics, Knowledge and Grids, SKG 2015, 2016, pp. 25 - 32
Issue Date:: 2016-03-08

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Field	Value	Language
dc.contributor.author	Hazber, MAG	en_US
dc.contributor.author	Li, R	en_US
dc.contributor.author	Gu, X https://orcid.org/0000-0003-3161-8391	en_US
dc.contributor.author	Xu, G https://orcid.org/0000-0003-4493-6663	en_US
dc.contributor.author	Li, Y	en_US
dc.date.issued	2016-03-08	en_US
dc.identifier.citation	Proceedings - 2015 11th International Conference on Semantics, Knowledge and Grids, SKG 2015, 2016, pp. 25 - 32	en_US
dc.identifier.isbn	9781467398084	en_US
dc.identifier.uri	http://hdl.handle.net/10453/107115
dc.description.abstract	© 2015 IEEE. Constructing an ontology from RDBs and its query through ontologies is a fundamental problem for the development of the semantic web. This paper proposes an approach to extract ontology directly from RDB in the form of OWL/RDF triples, to ensure its availability at semantic web. We automatically construct an OWL ontology from RDB schema using direct mapping rules. The mapping rules provide the basic rules for generating RDF triples from RDB data even for column contents null value, and enable semantic query engines to answer more relevant queries. Then we rewriting SPARQL query from SQL by translating SQL relational algebra into an equivalent SPARQL. The proposed method is demonstrated with examples and the effectiveness of the proposed approach is evaluated by experimental results.	en_US
dc.relation.ispartof	Proceedings - 2015 11th International Conference on Semantics, Knowledge and Grids, SKG 2015	en_US
dc.relation.isbasedon	10.1109/SKG.2015.14	en_US
dc.title	Semantic SPARQL Query in a Relational Database Based on Ontology Construction	en_US
dc.type	Conference Proceeding
utslib.for	080101 Adaptive Agents and Intelligent Robotics	en_US
utslib.for	0806 Information Systems	en_US
pubs.embargo.period	Not known	en_US
pubs.organisational-group	/University of Technology Sydney
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology/School of Computer Science
pubs.organisational-group	/University of Technology Sydney/Strength - AAI - Advanced Analytics Institute Research Centre
utslib.copyright.status	open_access
pubs.publication-status	Published	en_US

Abstract:

© 2015 IEEE. Constructing an ontology from RDBs and its query through ontologies is a fundamental problem for the development of the semantic web. This paper proposes an approach to extract ontology directly from RDB in the form of OWL/RDF triples, to ensure its availability at semantic web. We automatically construct an OWL ontology from RDB schema using direct mapping rules. The mapping rules provide the basic rules for generating RDF triples from RDB data even for column contents null value, and enable semantic query engines to answer more relevant queries. Then we rewriting SPARQL query from SQL by translating SQL relational algebra into an equivalent SPARQL. The proposed method is demonstrated with examples and the effectiveness of the proposed approach is evaluated by experimental results.

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http://hdl.handle.net/10453/107115