Semantic urban modelling: Knowledge representation of urban space

Mauro Berta, Luca Caneparo, Alfonso Montuori and Davide Rolfo

Environment and Planning B, 2016, vol. 43, issue 4, 610-639

Abstract: The paper presents a methodology for describing in generative terms the structure of urban fabrics: the objective is to transfer conceptually the knowledge about the domain of urban space into a hierarchical and interrelated semantic structure with relevant concepts, elements and their mutual relationships, providing explicit and unambiguous definitions. The conceptual and operational instrument adopted for this purpose is the ontology, a method of knowledge representation and management coming from the Artificial Intelligence. This approach aims to create a customisable digital design tool, to support the designer in the early stages of urban design process, such as street pattern and massing definition, by generating in real time a number of design scenarios, starting from a large number of constraints and requests. This paper focuses on the knowledge formalisation aspects of the research that is the basis for the generative modelling of urban space.

Keywords: Generative design; knowledge representation; ontology (computer science); urban morphology (search for similar items in EconPapers)
Date: 2016
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Persistent link: https://EconPapers.repec.org/RePEc:sae:envirb:v:43:y:2016:i:4:p:610-639

DOI: 10.1177/0265813515609820

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