A semantic web approach to land use regulations in urban planning: The OntoZoning ontology of zones, land uses and programmes for Singapore

Semantic web technologies have the potential to significantly improve urban regulatory data access, integration and usability, with potentially large implications for planning practice. On-tologies 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.

Automated summary

This paper introduces a method using an ontology to represent the relationships between zoning types, land uses, and programs in Singapore. The ontology is linked to geospatial data stored in a knowledge graph, enabling multi-domain queries on urban data. The study demonstrates how a semantic web-based approach can enhance access and usability of land use regulation data, particularly for site selection and exploration. Additionally, the paper discusses the challenges of defining concepts in the land use regulation field and the potential of linking OntoZoning to a broader semantic web-based urban planning regulatory framework.