Automatic Geospatial Data Conflation Using Semantic Web Technologies

Yu, Feiyan

Yu F 2022 Public.pdf (12.33Mb)

Access Status

Open access

Authors

Yu, Feiyan

Date

2022

Supervisor

David McMeekin

Type

Thesis

Award

PhD

Metadata

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Faculty

Science and Engineering

School

School of Earth and Planetary Sciences

URI

http://hdl.handle.net/20.500.11937/91941

Collection

Curtin Theses

Abstract

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.