An ontology-centric architecture for extensible scientific data management systems

Li, Yuan-Fang, Kennedy, Gavin, Ngoran, Faith, Wu, Philip and Hunter, Jane (2013) An ontology-centric architecture for extensible scientific data management systems. Future Generation Computer Systems, 29 2: 641-653. doi:10.1016/j.future.2011.06.007

Author Li, Yuan-Fang
Kennedy, Gavin
Ngoran, Faith
Wu, Philip
Hunter, Jane
Title An ontology-centric architecture for extensible scientific data management systems
Journal name Future Generation Computer Systems   Check publisher's open access policy
ISSN 0167-739X
Publication date 2013-02
Year available 2011
Sub-type Fully published paper
DOI 10.1016/j.future.2011.06.007
Volume 29
Issue 2
Start page 641
End page 653
Total pages 13
Place of publication Amsterdam, Netherlands
Publisher Elsevier
Collection year 2014
Language eng
Abstract Data management has become a critical challenge faced by a wide array of scientific disciplines in which the provision of sound data management is pivotal to the achievements and impact of research projects. Massive and rapidly expanding amounts of data combined with data models that evolve over time contribute to making data management an increasingly challenging task that warrants a new approach. In this paper we present an ontology-centric architecture for data management systems that is extensible and domain independent. In this architecture, the behaviors of domain concepts and objects are captured entirely by ontological entities, around which all data management tasks are carried out. The open and semantic nature of ontology languages also makes this architecture amenable to greater data reuse and interoperability. To evaluate the proposed architecture, we have applied it to the challenge of managing phenomics data.
Q-Index Code C1
Q-Index Status Confirmed Code
Institutional Status UQ
Additional Notes Available online: 8 July 2011. In Press, Corrected Proof

Document type: Journal Article
Sub-type: Fully published paper
Collections: Official 2014 Collection
School of Information Technology and Electrical Engineering Publications
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Citation counts: TR Web of Science Citation Count  Cited 2 times in Thomson Reuters Web of Science Article | Citations
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Created: Thu, 28 Jun 2012, 14:34:33 EST by Professor Jane Hunter on behalf of School of Information Technol and Elec Engineering