1. Semantic urban modelling: Knowledge representation of urban space
- Author
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Mauro Berta, Davide Rolfo, Luca Caneparo, and A. Montuori
- Subjects
Structure (mathematical logic) ,Knowledge representation and reasoning ,Process (engineering) ,business.industry ,Computer science ,knowledge representation ,Geography, Planning and Development ,Design tool ,0211 other engineering and technologies ,Urban morphology ,Urban design ,ontology (computer science) ,021107 urban & regional planning ,02 engineering and technology ,Ontology (information science) ,Data science ,urban morphology ,generative design ,020204 information systems ,0202 electrical engineering, electronic engineering, information engineering ,Artificial intelligence ,Generative Design ,business ,General Environmental Science - 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.
- Published
- 2015
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