Curtin University Homepage
  • Library
  • Help
    • Admin

    espace - Curtin’s institutional repository

    JavaScript is disabled for your browser. Some features of this site may not work without it.
    View Item 
    • espace Home
    • espace
    • Curtin Research Publications
    • View Item
    • espace Home
    • espace
    • Curtin Research Publications
    • View Item

    Provenance Ontology Model for Land Administration Spatial Data Supply Chains

    Access Status
    Fulltext not available
    Authors
    Sadiq, Muhammad
    West, Geoff
    McMeekin, David
    Arnold, Lesley
    Moncrieff, Simon
    Date
    2015
    Type
    Conference Paper
    
    Metadata
    Show full item record
    Citation
    Sadiq, 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.
    Source Title
    Proceedings of the 2015 11th International Conference on Innovations in Information Technology (IIT) Innovations 2015
    Source Conference
    11th International Conference on Innovations in Information Technology (IIT'15)
    DOI
    10.1109/INNOVATIONS.2015.7381537
    School
    Department of Spatial Sciences
    URI
    http://hdl.handle.net/20.500.11937/11481
    Collection
    • Curtin Research Publications
    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.

    Related items

    Showing items related by title, author, creator and subject.

    • Application of advanced techniques for the remote detection, modelling and spatial analysis of mesquite (prosopis spp.) invasion in Western Australia
      Robinson, Todd Peter (2008)
      Invasive plants pose serious threats to economic, social and environmental interests throughout the world. Developing strategies for their management requires a range of information that is often impractical to collect ...
    • Multiscale remote sensing for assessment of environmental change in the rural-urban fringe.
      Wright, Graeme L. (2000)
      The objective of this study was to investigate the application of multiscale satellite remote sensing data for assessment of land cover change in the rural-urban fringe. Inherent in this assessment process was the ...
    • Fractals and fuzzy sets for modelling the heterogenity and spatial complexity of urban landscapes using multiscale remote sensing data
      Islam, Zahurul (2004)
      This research presents models for the analysis of textural and contextual information content of multiscale remote sensing to select an appropriate scale for the correct interpretation and mapping of heterogeneous urban ...
    Advanced search

    Browse

    Communities & CollectionsIssue DateAuthorTitleSubjectDocument TypeThis CollectionIssue DateAuthorTitleSubjectDocument Type

    My Account

    Admin

    Statistics

    Most Popular ItemsStatistics by CountryMost Popular Authors

    Follow Curtin

    • 
    • 
    • 
    • 
    • 

    CRICOS Provider Code: 00301JABN: 99 143 842 569TEQSA: PRV12158

    Copyright | Disclaimer | Privacy statement | Accessibility

    Curtin would like to pay respect to the Aboriginal and Torres Strait Islander members of our community by acknowledging the traditional owners of the land on which the Perth campus is located, the Whadjuk people of the Nyungar Nation; and on our Kalgoorlie campus, the Wongutha people of the North-Eastern Goldfields.