Utilising Semantic Web Technologies for Improved Road
Network Information Exchange

Niestroj, Michael Georg

Niestroj MG 2021.pdf (11.29Mb)

Access Status

Open access

Authors

Niestroj, Michael Georg

Date

2021

Supervisor

David McMeekin

David Belton

Petra Helmholz

Type

Thesis

Award

PhD

Metadata

Show full item record

Faculty

Science and Engineering

School

School of Earth and Planetary Sciences

URI

http://hdl.handle.net/20.500.11937/88109

Collection

Curtin Theses

Abstract

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.