「英中对照」面向智慧建筑数据驱动分析部署的建筑本体系统比较与评估

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Abstract:Ontologies play a critical role in data exchange, information integration, and knowledge sharing across diverse smart building applications. Yet, semantic differences between the prevailing building ontologies hamper their purpose of bringing data interoperability and restrict the ability to reuse building ontologies in real-world applications. In this paper, we propose and adopt a framework to conduct a systematic comparison and evaluation of four popular building ontologies (Brick Schema, RealEstateCore, Project Haystack and Google's Digital Buildings) from both axiomatic design and assertions in a use case, namely the Terminological Box (TBox) evaluation and the Assertion Box (ABox) evaluation. In the TBox evaluation, we use the SQuaRE-based Ontology Quality Evaluation (OQuaRE) Framework and concede that Project Haystack and Brick Schema are more compact with respect to the ontology axiomatic design. In the ABox evaluation, we apply an empirical study with sample building data that suggests that Brick Schema and RealEstateCore have greater completeness and expressiveness in capturing the main concepts and relations within the building domain. The results implicitly indicate that there is no universal building ontology for integrating Linked Building Data (LBD). We discuss ontology compatibility and investigate building ontology design patterns (ODPs) to support ontology matching, alignment, and harmonisation. 摘要：本体在各类智慧建筑应用的数据交换、信息集成和知识共享中发挥着关键作用。然而，主流建筑本体之间的语义差异妨碍了其实现数据互操作性的宗旨，并限制了建筑本体在实际应用中的复用能力。本文提出并采用一个框架，从公理设计和用例中的断言两个方面，即术语盒（TBox）评估和断言盒（ABox）评估，对四种流行的建筑本体（Brick Schema、RealEstateCore、Project Haystack 和 Google's Digital Buildings）进行系统比较与评估。在 TBox 评估中，我们采用基于 SQuaRE 的本体质量评估（OQuaRE）框架，并认可 Project Haystack 和 Brick Schema 在本体公理设计方面更加紧凑。在 ABox 评估中，我们使用样本建筑数据开展实证研究，结果表明 Brick Schema 和 RealEstateCore 在捕捉建筑领域内主要概念和关系方面具有更强的完整性和表达能力。研究结果间接表明，不存在用于集成关联建筑数据（LBD）的通用建筑本体。我们讨论本体兼容性，并研究建筑本体设计模式（ODPs），以支持本体匹配、对齐和协调统一。

Submission history提交历史

From: Zhangcheng Qiang [view email]
[v1] Sun, 15 Mar 2026 13:26:37 UTC (8,845 KB)
[v2] Mon, 23 Mar 2026 13:52:15 UTC (19,751 KB)
[v3] Sun, 7 Jun 2026 13:55:10 UTC (19,735 KB)
来自：Zhangcheng Qiang [查看电子邮件]
[v1] Sun, 15 Mar 2026 13:26:37 UTC (8,845 KB)
[v2] Mon, 23 Mar 2026 13:52:15 UTC (19,751 KB)
[v3] Sun, 7 Jun 2026 13:55:10 UTC (19,735 KB)