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REST-based semantic feature catalogue services


Finney, KT and Watts, D, REST-based semantic feature catalogue services, International Journal of Geographical Information Science, 25, (9) pp. 1507-1524. ISSN 1365-8816 (2011) [Refereed Article]

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Copyright Statement

Copyright 2011 Taylor and Francis

DOI: doi:10.1080/13658816.2010.508042


The exchange of scientific datasets online and their subsequent use by service-centric applications requires semantic description of the data objects, or features, being transacted. This is particularly the case in the Earth Systems Sciences. Semantic repositories provide a partial answer to generating rich content. Ideally these repositories should be founded in a framework that permits cross-referencing between independently established semantic data-stores and which provides for a loose coupling between repositories and the agents or clients that will use them. We investigated the applicability of using an ISO 19110-based Feature Catalogue as a cross-domain, semantic repository for various Earth Systems Science communities of interest. Our aim was to develop a repository and a set of services capable of providing semantic content for consumption by smart clients. The constraint applied throughout the research was to develop a set of tools that would present a very low uptake barrier for programmers and domain specialists alike. To meet this challenge, we used Representational State Transfer (REST)-based services to expose content from an enhanced implementation of an ISO 19110-based Feature Catalogue. This article describes how the ISO 19110 conceptual model was augmented during implementation to cater for the requirements of two large multi-disciplinary science groups: the Scientific Committee on Antarctic Research and the Australian Ocean Data Network. The reasons for opting for a REST-based service pattern are discussed and the three REST service types that were developed are described.

Item Details

Item Type:Refereed Article
Keywords:semantic repository, feature catalogue, ISO 19110, REST, services
Research Division:Information and Computing Sciences
Research Group:Information systems
Research Field:Information systems development methodologies and practice
Objective Division:Information and Communication Services
Objective Group:Information systems, technologies and services
Objective Field:Information systems, technologies and services not elsewhere classified
UTAS Author:Finney, KT (Dr Kim Finney)
ID Code:78297
Year Published:2011
Web of Science® Times Cited:4
Deposited By:Information and Communication Technology
Deposited On:2012-06-21
Last Modified:2012-10-17
Downloads:1 View Download Statistics

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