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.
Semantic Urban Modelling: Knowledge Representation of Urban Space / Berta, Mauro; Caneparo, Luca; Montuori, Alfonso; Rolfo, Davide. - In: ENVIRONMENT AND PLANNING B-PLANNING & DESIGN. - ISSN 0265-8135. - STAMPA. - 43:4(2016), pp. 610-639. [10.1177/0265813515609820]
|Titolo:||Semantic Urban Modelling: Knowledge Representation of Urban Space|
|Data di pubblicazione:||2016|
|Digital Object Identifier (DOI):||http://dx.doi.org/10.1177/0265813515609820|
|Appare nelle tipologie:||1.1 Articolo in rivista|