Domain analysis to assess the sustainability of construction projects using semantic technologies

• Autor(a) principal: Cristiano Geraldo Teixeira Silva
• Data de Publicação: 2022
• Outros Autores: Marcello Peixoto Bax
• Tipo de documento: Artigo
• Idioma: por
• Título da fonte: Repositório Institucional da UFMG
• Texto Completo: https://doi.org/10.36311/1981-1640.2022.v16.e02144; http://hdl.handle.net/1843/59670; https://orcid.org/0000-0001-5010-3081; https://orcid.org/0000-0003-0503-3031
• topic: Semantic technologies; Ontology; Sustainable constructive projects; LEED; Tecnologia da informação; Ontologias; Arquitetura sustentável; Leadership in Energy and Environmental Design Green Building Rating System; Análise de domínio

Evaluating construction projects aims to measure how sustainable the built environments are and this is important to save the environment from increasing deterioration. However, most assessment tasks are carried out in different tools, at all stages of construction and even manually, consuming time and increasing the possibility of the errors. The research problem is to verify how the semantic technologies usedwould represent an advantageous alternative, in relation to the state of the art, to analyze, systematize and organize information from the domain of construction projects, accelerating the evaluation process. The concepts behind an experiment that employs semantic technologies and a domain ontology to integrate data from BIM (Building Information Modeling) projects and other tabular data external to the project to automate the LEED (Leadership in Energy and Environmental Design) certification tasks are presented. To produce the prototype of this experiment, data from a BIM project and open tabulated data from Belo Horizonte’s city are semantically annotated and a knowledge graph is generated in RDF format. Once integrated into the graph, the data is used to assess the certification criteria through consultations. The results suggest that the domain analysis associated with semantic technologies promotes the conceptual extensibility of the constructive elements, enabling their integration with external knowledge bases. It also conceptually organizes data aiming to improve relevant information retrieval tasks.