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    Automating government spatial transactions

    Access Status
    Fulltext not available
    Authors
    Varadharajulu, P.
    West, Geoff
    McMeekin, David
    Moncrieff, Simon
    Arnold, L.
    Date
    2016
    Type
    Conference Paper
    
    Metadata
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    Citation
    Varadharajulu, P. and West, G. and McMeekin, D. and Moncrieff, S. and Arnold, L. 2016. Automating government spatial transactions, pp. 157-167.
    Source Title
    GISTAM 2016 - Proceedings of the 2nd International Conference on Geographical Information Systems Theory, Applications and Management
    ISBN
    9789897581885
    School
    Department of Spatial Sciences
    URI
    http://hdl.handle.net/20.500.11937/53477
    Collection
    • Curtin Research Publications
    Abstract

    Copyright © 2016 by SCITEPRESS - Science and Technology Publications, Lda. All rights reserved.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 aspects 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.

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