Intelligent support for the analysis of urban development projects based on ontology

The design of urban development projects relies on approaches that involve the creation of new methods for knowledge extraction and representation. These approaches enable the adaptation of digital models to changing condi-tions and facilitate the coordination of interdisciplinary requirements. This article addresses the formalization of knowledge related to building structure types, regulatory standards, operational conditions, and other data that must be considered in urban development processes. Based on an analysis of design workflows and regulatory and reference documentation, an ontology has been developed to support the evaluation of urban development projects. The article proposes a method for analyzing such projects that integrates data from informational, geometric, and ontological models to verify the compliance of digital models and design documentation with relevant norms and standards. The method is applicable across a wide range of urban development projects; its use depends on the completeness of the databases and rule sets involved. The software implementation of the proposed method reduces the labor intensity of project review and contributes to improving the overall quality of urban development outcomes.