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. <br>建筑是能源消耗的重要支柱，随着全球城市的持续扩张，城市建筑能耗的监管与治理已成为当代研究的核心焦点。当前城市建筑能耗建模领域涵盖地理、建筑构造、建筑材料等多维度方向，但缺乏一套完备的信息整合框架，无法以系统化方式梳理跨域数据并生成易于计算的仿真文件。本研究针对这一研究空白，提出两类核心本体（Ontology）：一类为用于管理建筑能耗仿真模板的建筑模板本体（Building Template Ontology），另一类为用于组织建筑物理信息的城市建筑本体（Urban Building Ontology）。本研究的核心贡献在于：采用本体驱动的语义网络方法，实现了信息融合的灵活性，充分挖掘仿真输入项间的逻辑关联，并为结构化城市能源绩效分析提供了轻量化解决方案。本代码仓库公开了本研究所提出的本体驱动方法所需的数据与代码，包括建筑模板本体、城市建筑本体、GeoSPARQL查询语句以及建筑能耗仿真代码。