This paper presents the development of SIENA - Space Identity Evaluation aNd Assignment - based on duck typing for automatic recognition and semantic enrichment of the architectural spaces. This method is known in computer science as a form of abductive reasoning and leverages on the observable features of an object in order to establish its recognition. As result, the spatial identity is object-oriented and can be dynamically defined. In this research, the duck typing approach has been achieved with the support of BIM methodology and graph database. The former allows information-based modeling of an architectural project while the latter makes possible the representation of the knowledge along with their relationships. Consequently, this research may have many possible applications, especially as a valid design support tool in the very first design stages. Furthermore, an efficient spatial identity detection could contribute to the development of further human-machine interactions and therefore a possible optimization of the design process.
Spaces Identity Evaluation aNd Assignment – SIENA A duck typing approach for automatic recognition and semantic enrichment of architectural spaces / Zhu, Zhelun; Coraglia, Ugo Maria; Fioravanti, Antonio;. - STAMPA. - (2021), pp. 341-350. (Intervento presentato al convegno Proceedings of 39th International Conference eCAADe 2021 tenutosi a Novi Sad nel 8-10 Settembre 2021) [10.52842/conf.ecaade.2021.2.341].
Spaces Identity Evaluation aNd Assignment – SIENA A duck typing approach for automatic recognition and semantic enrichment of architectural spaces
Coraglia, Ugo Maria;
2021
Abstract
This paper presents the development of SIENA - Space Identity Evaluation aNd Assignment - based on duck typing for automatic recognition and semantic enrichment of the architectural spaces. This method is known in computer science as a form of abductive reasoning and leverages on the observable features of an object in order to establish its recognition. As result, the spatial identity is object-oriented and can be dynamically defined. In this research, the duck typing approach has been achieved with the support of BIM methodology and graph database. The former allows information-based modeling of an architectural project while the latter makes possible the representation of the knowledge along with their relationships. Consequently, this research may have many possible applications, especially as a valid design support tool in the very first design stages. Furthermore, an efficient spatial identity detection could contribute to the development of further human-machine interactions and therefore a possible optimization of the design process.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.