Utilising Semantic Web Technologies for Improved Road Network Information Exchange

Road asset data harmonisation is a challenge for the Australian road and transport authorities considering their heterogeneous data standards, data formats and tools. Classic data harmonisation techniques require huge databases with many tables, a unified metadata definition and standardised tools t...

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Bibliographic Details
Main Author: Niestroj, Michael Georg
Format: Thesis
Published: Curtin University 2021
Online Access:http://hdl.handle.net/20.500.11937/88109
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author Niestroj, Michael Georg
author_facet Niestroj, Michael Georg
author_sort Niestroj, Michael Georg
building Curtin Institutional Repository
collection Online Access
description Road asset data harmonisation is a challenge for the Australian road and transport authorities considering their heterogeneous data standards, data formats and tools. Classic data harmonisation techniques require huge databases with many tables, a unified metadata definition and standardised tools to share data with others. In order to find a better way to harmonise heterogeneous road network data, this dissertation uses Semantic Web technologies to investigate fast and efficient road asset data harmonisation.
first_indexed 2025-11-14T11:27:41Z
format Thesis
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institution Curtin University Malaysia
institution_category Local University
last_indexed 2025-11-14T11:27:41Z
publishDate 2021
publisher Curtin University
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repository_type Digital Repository
spelling curtin-20.500.11937-881092022-03-14T07:53:21Z Utilising Semantic Web Technologies for Improved Road Network Information Exchange Niestroj, Michael Georg Road asset data harmonisation is a challenge for the Australian road and transport authorities considering their heterogeneous data standards, data formats and tools. Classic data harmonisation techniques require huge databases with many tables, a unified metadata definition and standardised tools to share data with others. In order to find a better way to harmonise heterogeneous road network data, this dissertation uses Semantic Web technologies to investigate fast and efficient road asset data harmonisation. 2021 Thesis http://hdl.handle.net/20.500.11937/88109 Curtin University fulltext
spellingShingle Niestroj, Michael Georg
Utilising Semantic Web Technologies for Improved Road Network Information Exchange
title Utilising Semantic Web Technologies for Improved Road Network Information Exchange
title_full Utilising Semantic Web Technologies for Improved Road Network Information Exchange
title_fullStr Utilising Semantic Web Technologies for Improved Road Network Information Exchange
title_full_unstemmed Utilising Semantic Web Technologies for Improved Road Network Information Exchange
title_short Utilising Semantic Web Technologies for Improved Road Network Information Exchange
title_sort utilising semantic web technologies for improved road network information exchange
url http://hdl.handle.net/20.500.11937/88109