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    Spatial Data Infrastructures and the Semantic Web of Spatial Things in Australia

    190955_190955.pdf (385.1Kb)
    Access Status
    Open access
    Authors
    McMeekin, David
    West, Geoffrey
    Date
    2012
    Type
    Conference Paper
    
    Metadata
    Show full item record
    Citation
    McMeekin, David A. and West, Geoff. 2012. Spatial Data Infrastructures and the Semantic Web of Spatial Things in Australia, in Pardebe, E. and Ma, J. and Singh, J. (ed), 5th International Conference on Human System Interaction (HSI), Jun 6-8 2012, pp. 197-201. Perth, WA: IEEE.
    Source Title
    Proceedings of 5th International Conference on Human System Interaction
    Source Conference
    5th International Conference on Human System Interaction
    DOI
    10.1109/HSI.2012.36
    Remarks

    Copyright © 2012 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.

    URI
    http://hdl.handle.net/20.500.11937/13271
    Collection
    • Curtin Research Publications
    Abstract

    Spatial Data Infrastructures have recently become a crucial part of national infrastructures. Example users are governments using them to make informed policy decisions and the private sector using them in order to understand their customers better. It is estimated that Australian spatial industry revenue is in excess of $1.35 billion annually. The Cooperative Research Centre for Spatial Information in Australia is currently working with the Commonwealth, jurisdictions and the private sector to understand the research required in this area to support both the public and private sectors in their decision and policy making based upon these infrastructures. This paper presents an early perspective as to possible research areas in this field. An underlying theme that reoccurs in the research is the need to consider usability of such systems and the need to move beyond just data to orchestration of processes to obtain derived products.

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