An approach for automatically generating R2RML-based direct mapping from relational databases

Hazber, MAG; Li, R; Xu, G; Alalayah, KM

An approach for automatically generating R2RML-based direct mapping from relational databases

Hazber, MAG Li, R Xu, G

Alalayah, KM

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Publication Type:: Conference Proceeding
Citation:: Communications in Computer and Information Science, 2016, 623 pp. 151 - 169
Issue Date:: 2016-01-01

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Field	Value	Language
dc.contributor.author	Hazber, MAG	en_US
dc.contributor.author	Li, R	en_US
dc.contributor.author	Xu, G https://orcid.org/0000-0003-4493-6663	en_US
dc.contributor.author	Alalayah, KM	en_US
dc.date.issued	2016-01-01	en_US
dc.identifier.citation	Communications in Computer and Information Science, 2016, 623 pp. 151 - 169	en_US
dc.identifier.isbn	9789811020520	en_US
dc.identifier.issn	1865-0929	en_US
dc.identifier.uri	http://hdl.handle.net/10453/104622
dc.description.abstract	© Springer Science+Business Media Singapore 2016. For integrating relational databases (RDBs) into semantic web applications, the W3C RDB2RDF Working Group recommended two approaches, Direct Mapping (DM) and R2RML. The DM provides a set of mapping rules according to RDB schema, while the R2RML allows users to manually define mappings according to existing target ontology. The major problem to use R2RML is the effort for creating R2RML mapping documents manually. This may lead to appearance of many mistakes in the R2RML documents and requires domain experts. In this paper, we propose and implement an approach to generate an R2RML mapping documents automatically from RDB schema. The R2RML mapping reflects the behavior of the DM specification and allows any R2RML parser to generate a set of RDF triples from relational data. The input of generating approach is DBsInfo class that automatically generated from relational schema. An experimental prototype is developed and shows the effectiveness of our approach algorithms.	en_US
dc.relation.ispartof	Communications in Computer and Information Science	en_US
dc.relation.isbasedon	10.1007/978-981-10-2053-7_15	en_US
dc.title	An approach for automatically generating R2RML-based direct mapping from relational databases	en_US
dc.type	Conference Proceeding
utslib.citation.volume	623	en_US
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
pubs.volume	623	en_US

Abstract:

© Springer Science+Business Media Singapore 2016. For integrating relational databases (RDBs) into semantic web applications, the W3C RDB2RDF Working Group recommended two approaches, Direct Mapping (DM) and R2RML. The DM provides a set of mapping rules according to RDB schema, while the R2RML allows users to manually define mappings according to existing target ontology. The major problem to use R2RML is the effort for creating R2RML mapping documents manually. This may lead to appearance of many mistakes in the R2RML documents and requires domain experts. In this paper, we propose and implement an approach to generate an R2RML mapping documents automatically from RDB schema. The R2RML mapping reflects the behavior of the DM specification and allows any R2RML parser to generate a set of RDF triples from relational data. The input of generating approach is DBsInfo class that automatically generated from relational schema. An experimental prototype is developed and shows the effectiveness of our approach algorithms.

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http://hdl.handle.net/10453/104622