Please use this identifier to cite or link to this item: https://hdl.handle.net/10419/271498 
Year of Publication: 
2023
Citation: 
[Journal:] Journal of Urban Management [ISSN:] 2226-5856 [Volume:] 12 [Issue:] 2 [Year:] 2023 [Pages:] 151-167
Publisher: 
Elsevier, Amsterdam
Abstract: 
Semantic web technologies have the potential to significantly improve urban regulatory data access, integration and usability, with potentially large implications for planning practice. Ontologies are a cornerstone of the semantic web. In this paper, we describe OntoZoning, an ontology representing relationships between zoning types, land uses and programmes (more specific land uses) in Singapore. We link the ontology to geospatial data stored in a knowledge graph, which allows executing multi-domain queries on urban data. We demonstrate how such a semantic web based approach can improve access to and usability of land use regulation data, and in particular facilitate site selection and exploration. We also discuss the difficulty of defining some concepts in the land use regulation field, and how OntoZoning could be linked to a broader semantic-web based urban planning regulatory framework.
Subjects: 
City planning
Knowledge graph
Master plan
Web 3.0
Zoning
Persistent Identifier of the first edition: 
Creative Commons License: 
cc-by Logo
Document Type: 
Article

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