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dc.contributor.authorSadiq, Muhammad
dc.contributor.authorWest, Geoff
dc.contributor.authorMcMeekin, David
dc.contributor.authorArnold, Lesley
dc.contributor.authorMoncrieff, Simon
dc.date.accessioned2017-01-30T11:25:00Z
dc.date.available2017-01-30T11:25:00Z
dc.date.created2016-02-10T19:30:17Z
dc.date.issued2015
dc.identifier.citationSadiq, M. and West, G. and McMeekin, D. and Arnold, L. and Moncrieff, S. 2015. Provenance Ontology Model for Land Administration Spatial Data Supply Chains, in Ismail, L. (ed), Proceedings of the 2015 11th International Conference on Innovations in Information Technology (IIT), Nov 1-3 2015, pp. 184-189. Dubai: IEEE.
dc.identifier.urihttp://hdl.handle.net/20.500.11937/11481
dc.identifier.doi10.1109/INNOVATIONS.2015.7381537
dc.description.abstract

Land Administration Spatial Data Supply Chains (SDSC) for state and territory jurisdictions in Australia require extensive investigation to address several contemporary issues and challenges that are hampering innovation and the use of spatial information across the land administration sector. The management of cadastral data involves multiple value and supply chains. Each has heterogeneous geo-processes, methods, models and workflows that combine to generate, modify and deliver spatial data. The integration and processing of multiple datasets gives rise to end user questions about trust, quality, fitness for purpose, currency and authoritativeness of the data. This is because datasets originate from various sources, and different geo-processes are executed to deliver the final product. Understanding how data is collected, processed, managed and disseminated provides knowledge about its history, believability and provenance. This in turn increases the usability of data. This paper explores methods to capture spatial data provenance and data flow lineage. The aim is to develop a spatial data provenance model for the land administration domain using a comprehensive ontology. In the GeoPROV-LM model under development, all business and technical phases are defined and an extensive ontology structure developed using a semantic approach at the data flow level.

dc.publisherhttp://ieeexplore.ieee.org/
dc.titleProvenance Ontology Model for Land Administration Spatial Data Supply Chains
dc.typeConference Paper
dcterms.source.startPage184
dcterms.source.endPage189
dcterms.source.titleProceedings of the 2015 11th International Conference on Innovations in Information Technology (IIT) Innovations 2015
dcterms.source.seriesProceedings of the 2015 11th International Conference on Innovations in Information Technology (IIT) Innovations 2015
dcterms.source.conference11th International Conference on Innovations in Information Technology (IIT'15)
curtin.departmentDepartment of Spatial Sciences
curtin.accessStatusFulltext not available


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