Automating government spatial transactions
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 r...
| Main Authors: | , , , , |
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| Format: | Conference Paper |
| Published: |
2016
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| Online Access: | http://hdl.handle.net/20.500.11937/53477 |
| _version_ | 1848759153613340672 |
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| author | Varadharajulu, P. West, Geoff McMeekin, David Moncrieff, Simon Arnold, L. |
| author_facet | Varadharajulu, P. West, Geoff McMeekin, David Moncrieff, Simon Arnold, L. |
| author_sort | Varadharajulu, P. |
| building | Curtin Institutional Repository |
| collection | Online Access |
| description | 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. |
| first_indexed | 2025-11-14T09:55:21Z |
| format | Conference Paper |
| id | curtin-20.500.11937-53477 |
| institution | Curtin University Malaysia |
| institution_category | Local University |
| last_indexed | 2025-11-14T09:55:21Z |
| publishDate | 2016 |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | curtin-20.500.11937-534772017-06-23T03:00:10Z Automating government spatial transactions Varadharajulu, P. West, Geoff McMeekin, David Moncrieff, Simon Arnold, L. 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. 2016 Conference Paper http://hdl.handle.net/20.500.11937/53477 restricted |
| spellingShingle | Varadharajulu, P. West, Geoff McMeekin, David Moncrieff, Simon Arnold, L. Automating government spatial transactions |
| title | Automating government spatial transactions |
| title_full | Automating government spatial transactions |
| title_fullStr | Automating government spatial transactions |
| title_full_unstemmed | Automating government spatial transactions |
| title_short | Automating government spatial transactions |
| title_sort | automating government spatial transactions |
| url | http://hdl.handle.net/20.500.11937/53477 |