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Environmental spatio-temporal ontology for the linked open data cloud


Morshed, A and Aryal, J and Dutta, R, Environmental spatio-temporal ontology for the linked open data cloud, Proceedings of Trustcom 2013, ISPA-13 and IUCC 2013, 16-18 July 2013, Melbourne, Australia, pp. 1907-1912. ISBN 978-0-7695-5022-0 (2013) [Refereed Conference Paper]

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Copyright 2013 IEEE

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The rapid access of sensor technology provides both challenges and opportunities to authenticated spatiotemporal data. Authentication can be assured by developing related ontologies. Ontology explicitly specifies shared conceptualization and formal vocabularies. In this paper, we proposed an environmental spatio-temporal ontology (ESTO) using unified resource description framework (RDF) and Intelligent Environmental Knowledgebase (i-EKbase) recommendation system. Five different environmental data sources namely SILO, AWAP, ASRIS, CosmOz, and MODIS were considered to develop i-EKbase where knowledge was integrated. The recommendation system was founded on web based large scale dynamic data mining, contextual knowledge extraction, and integrated knowledge representation. The proposed ESTO was tested for optimization of the accessibility and usability issues related to big data sets and minimize the overall application costs. RDF representation made this ontology very flexible to publish on Linked Open Data Cloud environment.

Item Details

Item Type:Refereed Conference Paper
Keywords:metadata, RDF, linked open data, i-EKbase, spatio-temporal ontology, ESTO
Research Division:Engineering
Research Group:Geomatic engineering
Research Field:Photogrammetry and remote sensing
Objective Division:Expanding Knowledge
Objective Group:Expanding knowledge
Objective Field:Expanding knowledge in the environmental sciences
UTAS Author:Aryal, J (Dr Jagannath Aryal)
ID Code:86606
Year Published:2013
Deposited By:Geography and Environmental Studies
Deposited On:2013-10-01
Last Modified:2014-04-29

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