Utilising Semantic Web Technologies for Improved Road Network Information Exchange
| dc.contributor.author | Niestroj, Michael Georg | |
| dc.contributor.supervisor | David McMeekin | en_US |
| dc.contributor.supervisor | David Belton | en_US |
| dc.contributor.supervisor | Petra Helmholz | en_US |
| dc.date.accessioned | 2022-03-14T07:53:21Z | |
| dc.date.available | 2022-03-14T07:53:21Z | |
| dc.date.issued | 2021 | en_US |
| dc.identifier.uri | http://hdl.handle.net/20.500.11937/88109 | |
| dc.description.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. | en_US |
| dc.publisher | Curtin University | en_US |
| dc.title | Utilising Semantic Web Technologies for Improved Road Network Information Exchange | en_US |
| dc.type | Thesis | en_US |
| dcterms.educationLevel | PhD | en_US |
| curtin.department | School of Earth and Planetary Sciences | en_US |
| curtin.accessStatus | Open access | en_US |
| curtin.faculty | Science and Engineering | en_US |
| curtin.contributor.orcid | Niestroj, Michael Georg [0000-0002-5068-4434] | en_US |