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dc.contributor.authorVaradharajulu, P.
dc.contributor.authorWest, Geoff
dc.contributor.authorMcMeekin, David
dc.contributor.authorMoncrieff, Simon
dc.contributor.authorArnold, L.
dc.date.accessioned2017-06-23T03:00:10Z
dc.date.available2017-06-23T03:00:10Z
dc.date.created2017-06-19T03:39:34Z
dc.date.issued2016
dc.identifier.citationVaradharajulu, P. and West, G. and McMeekin, D. and Moncrieff, S. and Arnold, L. 2016. Automating government spatial transactions, pp. 157-167.
dc.identifier.urihttp://hdl.handle.net/20.500.11937/53477
dc.description.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.

dc.titleAutomating government spatial transactions
dc.typeConference Paper
dcterms.source.startPage157
dcterms.source.endPage167
dcterms.source.titleGISTAM 2016 - Proceedings of the 2nd International Conference on Geographical Information Systems Theory, Applications and Management
dcterms.source.seriesGISTAM 2016 - Proceedings of the 2nd International Conference on Geographical Information Systems Theory, Applications and Management
dcterms.source.isbn9789897581885
curtin.departmentDepartment of Spatial Sciences
curtin.accessStatusFulltext not available


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