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Authors: Premalatha Varadharajulu ; Geoff West ; David A. McMeekin ; Simon Moncrieff and Lesley Arnold

Affiliation: Curtin University and Cooperative Research Centre for Spatial Information, Australia

ISBN: 978-989-758-188-5

ISSN: 2184-500X

Keyword(s): Spatial Transaction, Spatial Data Supply Chain, Artificial Intelligence, Semantic Web, Ontology, Rule-based Reasoning, OWL-2.

Related Ontology Subjects/Areas/Topics: Applications ; Artificial Intelligence ; Business Analytics ; Cardiovascular Technologies ; Computing and Telecommunications in Cardiology ; Data Engineering ; Decision Support Systems ; Decision Support Systems, Remote Data Analysis ; Health Engineering and Technology Applications ; Knowledge-Based Systems ; Pattern Recognition ; Symbolic Systems ; Web Applications

Abstract: The land development approval process between local authorities and government land and planning departments is manual, time consuming and resource intensive. For example, when new land subdivisions, new roads and road naming, and administrative boundary changes are requested, approval and changes to spatial datasets are needed. The land developer submits plans, usually on paper, and a number of employees use rules, constraints and policies to determine if such plans are acceptable. This paper presents an approach using Semantic Web and Artificial Intelligence techniques to automate the decision-making process in Australian jurisdictions. Feedback on the proposed plan is communicated to the land developer in real-time, thus reducing process handling time for both developer and the government agency. The Web Ontology Language is used to represent relationships between different entities in the spatial database schema. Rules on geometry, policy, naming conventions, standards and other a spects are obtained from government policy documents and subject-matter experts and described using the Semantic Web Rule Language. Then when the developer submits an application, the software checks the rules against the request for compliance. This paper describes the proposed approach and presents a case study that deals with new road proposals and road name approvals. (More)


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Paper citation in several formats:
Varadharajulu, P.; West, G.; McMeekin, D.; Moncrieff, S. and Arnold, L. (2016). Automating Government Spatial Transactions. In Proceedings of the 2nd International Conference on Geographical Information Systems Theory, Applications and Management - GISTAM, ISBN 978-989-758-188-5 ISSN 2184-500X, pages 157-167. DOI: 10.5220/0005818901570167

author={Premalatha Varadharajulu. and Geoff West. and David A. McMeekin. and Simon Moncrieff. and Lesley Arnold.},
title={Automating Government Spatial Transactions},
booktitle={Proceedings of the 2nd International Conference on Geographical Information Systems Theory, Applications and Management - GISTAM,},


JO - Proceedings of the 2nd International Conference on Geographical Information Systems Theory, Applications and Management - GISTAM,
TI - Automating Government Spatial Transactions
SN - 978-989-758-188-5
IS - 2184-500X
AU - Varadharajulu, P.
AU - West, G.
AU - McMeekin, D.
AU - Moncrieff, S.
AU - Arnold, L.
PY - 2016
SP - 157
EP - 167
DO - 10.5220/0005818901570167

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