Al-Sayed K

Alfonso Montuori

Aymonino A

Beirão JN

Caniggia G

Conzen MP

Conzen MRG

Darin M

Davide Rolfo

Gruber T

Guarino N

Guo SS

Hillier B

Hofmeister B

Keet CM

Kropf K

Lacasta J

Luca Caneparo

Marzot N

Mauro Berta

Muratori S

Randell DA

Romano M

Vidler A

Vilagrasa IJ

Vilches BL

Whitehand JWR

Zevi B

 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. </jats:p

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Environment and Planning B Planning and Design

Semantic urban modelling: Knowledge representation of urban space

Semantic urban modelling: Knowledge representation of urban space

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