Data and code for the proposed ontology-driven approach

Buildings stand as prominent consumers of energy, and with the expansion of global cities, the scrutiny and governance of urban building energy consumption have become focal points in contemporary research. The field of urban building energy modeling, embracing diverse aspects such as geography, construction, and materials, lacks a comprehensive information integration framework to streamline cross-domain data in a systematic manner and generate simulation files that are easily calculable. This study addresses this gap by proposing two key ontologies: Building Template Ontology for managing building energy simulation templates and Urban Building Ontology for organizing building physics information. The primary contributions of this research lie in the utilization of ontology-driven semantic network methods, enabling flexibility in fusing information, exploiting logical relationships between simulation inputs, and presenting a lightweight solution for structured urban energy performance analysis. This repo shares data and code for the proposed ontology-driven approach, including Building Template Ontology, Urban Building Ontology, GeoSPARQL queries and building energy simulation code.