Mapping relational data model to OWL ontology: knowledge conceptualization in OWL

Zhao, Shuxin; Wongthongtham, Pornpit; Dillon, Tharam S.; Chang, Elizabeth

doi:10.1109/DEST.2008.4635182

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Access Status

Open access

Authors

Zhao, Shuxin

Wongthongtham, Pornpit

Dillon, Tharam S.

Chang, Elizabeth

Date

2008

Type

Conference Paper

Metadata

Show full item record

Citation

Zhao, Shuxin and Wongthongtham, Pornpit and Dillon, Tharam and Chang, Elizabeth. 2008. Mapping relational data model to OWL ontology: knowledge conceptualization in OWL, in Chang, E. and Hussain, F. (ed), International Conference on Digital Ecosystems and Technology, Feb 26 2008, pp.497-501. Phitsanulok, Thailand: Institute of Electrical and Electronics Engineers (IEEE)

Source Title

Proceedings of the 2nd international conference on digital ecosystems and technologies (DEST 2008)

Source Conference

2nd International Conference on Digital Ecosystems and Technology (DEST 2008)

DOI

10.1109/DEST.2008.4635182

ISBN

9781424414895

Faculty

Curtin Business School

School of Economics and Finance

School

Centre for Extended Enterprises and Business Intelligence

Remarks

Copyright © 2008 IEEE This material is presented to ensure timely dissemination of scholarly and technical work. Copyright and all rights therein are retained by authors or by other copyright holders. All persons copying this information are expected to adhere to the terms and constraints invoked by each author's copyright. In most cases, these works may not be reposted without the explicit permission of the copyright holder.

URI

http://hdl.handle.net/20.500.11937/26367

Collection

Curtin Research Publications

Abstract

In this paper, we introduce the issues and solutions of using OWL ontology to model extra restriction on 'Properties' of 'Classes' that are not provided by OWL specifications and to represent associations amongst 'Properties' other than 'Classes'. Two specific types of knowledge that cannot be modeled directly using OWL DL elements are identified and presented. Firstly the data value range constraint for a "DatatypeProperty"; secondly the calculation knowledge representation. Our approach to such issues is to conceptualize the knowledge in OWL and map the conceptualization in an implementation. Examples for each type of the knowledge and their OWL code are provided in detail to demonstrate our approach.