Automatic Geospatial Data Conflation Using Semantic Web Technologies
Duplicate geospatial data collections and maintenance are an extensive problem across Australia government organisations. This research examines how Semantic Web technologies can be used to automate the geospatial data conflation process. The research presents a new approach where generation of OWL...
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| Format: | Thesis |
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Curtin University
2022
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| Online Access: | http://hdl.handle.net/20.500.11937/91941 |
| _version_ | 1848765600997834752 |
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| author | Yu, Feiyan |
| author_facet | Yu, Feiyan |
| author_sort | Yu, Feiyan |
| building | Curtin Institutional Repository |
| collection | Online Access |
| description | Duplicate geospatial data collections and maintenance are an extensive problem across Australia government organisations. This research examines how Semantic Web technologies can be used to automate the geospatial data conflation process. The research presents a new approach where generation of OWL ontologies based on output data models and presenting geospatial data as RDF triples serve as the basis for the solution and SWRL rules serve as the core to automate the geospatial data conflation processes. |
| first_indexed | 2025-11-14T11:37:50Z |
| format | Thesis |
| id | curtin-20.500.11937-91941 |
| institution | Curtin University Malaysia |
| institution_category | Local University |
| last_indexed | 2025-11-14T11:37:50Z |
| publishDate | 2022 |
| publisher | Curtin University |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | curtin-20.500.11937-919412023-05-08T05:36:21Z Automatic Geospatial Data Conflation Using Semantic Web Technologies Yu, Feiyan Duplicate geospatial data collections and maintenance are an extensive problem across Australia government organisations. This research examines how Semantic Web technologies can be used to automate the geospatial data conflation process. The research presents a new approach where generation of OWL ontologies based on output data models and presenting geospatial data as RDF triples serve as the basis for the solution and SWRL rules serve as the core to automate the geospatial data conflation processes. 2022 Thesis http://hdl.handle.net/20.500.11937/91941 Curtin University fulltext |
| spellingShingle | Yu, Feiyan Automatic Geospatial Data Conflation Using Semantic Web Technologies |
| title | Automatic Geospatial Data Conflation Using Semantic Web Technologies |
| title_full | Automatic Geospatial Data Conflation Using Semantic Web Technologies |
| title_fullStr | Automatic Geospatial Data Conflation Using Semantic Web Technologies |
| title_full_unstemmed | Automatic Geospatial Data Conflation Using Semantic Web Technologies |
| title_short | Automatic Geospatial Data Conflation Using Semantic Web Technologies |
| title_sort | automatic geospatial data conflation using semantic web technologies |
| url | http://hdl.handle.net/20.500.11937/91941 |