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    A proposal to use semantic web technologies for improved road network information exchange

    Access Status
    Fulltext not available
    Authors
    Niestroj, M.
    McMeekin, David
    Helmholz, Petra
    Kuhn, M.
    Date
    2018
    Type
    Conference Paper
    
    Metadata
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    Citation
    Niestroj, M. and McMeekin, D. and Helmholz, P. and Kuhn, M. 2018. A proposal to use semantic web technologies for improved road network information exchange, pp. 147-154.
    Source Title
    ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences
    DOI
    10.5194/isprs-annals-IV-4-147-2018
    ISSN
    2194-9042
    School
    School of Earth and Planetary Sciences (EPS)
    URI
    http://hdl.handle.net/20.500.11937/71924
    Collection
    • Curtin Research Publications
    Abstract

    © 2018 Auhtors. Data harmonisation improves the coherence between data sets within and across themes and is, therefore, a very helpful tool for governmental agencies, companies and other organisations that share their data. This research focuses on horizontal infrastructures, namely roads, and proposes a new strategy to apply Semantic Web Technologies. The aim is to understand if their application is efficient and effective in filling the gap of data harmonisation in Australia's and New Zealand's road asset management systems within the definition of location. The proposed strategy has three stages. First, available international data standards for road assets will be analysed to identify the gaps within these standards and create recommendations towards an improved standard. The second stage is for the location aspect within each stage of the life cycle of asset management with respect to existing road asset data standards. Finally, in a third stage Semantic Web Technologies, ontologies and semantic rules will be used to build a prototype solution for road asset data conflation by merging multiple data sources that share no common lineage. The application of these technologies will allow for easier search and discovery of this data as well as facilitate the automated processing and updating of this data over the Web.

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