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arXiv 建筑语义标准论文· Wooyoung Jung·· 2026-09-03AI 评分75

「英中对照」arXiv数据论文发布BuildGraph合成多原型建筑知识图谱公开数据集

BuildGraph: A Synthetic Multi-Archetype Building Knowledge Graph Dataset

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Wooyoung Jung在arXiv发布数据论文,推出含120栋建筑的BuildGraph合成多原型建筑知识图谱数据集,相关资源公开可用。该数据集基于美国能源部原型模型与真实建筑传感器布置模式,采用Brick Schema本体,每类原型含5种在URI命名、传感器附着谓词与拓扑上存在差异的实现,覆盖8类商业建筑、3个ASHRAE能源规范年代,配套75条SPARQL查询基准。

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Abstract:Semantic querying of building knowledge graphs (KGs) underpins the integration of artificial intelligence into building operations, from natural-language access to cross-building analytics, but such KGs are rarely public owing to proprietary, security, and cost barriers. BuildGraph is a synthetic building KG dataset of 120 buildings in the Brick Schema ontology, grounded in U.S. Department of Energy prototype models and sensor-placement patterns from real buildings. It spans eight commercial building types across three ASHRAE energy-code vintages, with five realizations per archetype varying URI naming, sensor-attachment predicates, and topology. A 75-query SPARQL benchmark confirms structural completeness: BuildGraph reaches 91.5% Query Answerability Rate versus 35.8% for 59 real-world Brick files. Independently, it reproduces real buildings' sensor-type proportions on their shared vocabulary (cosine 0.86-0.94), evidence of realistic instrumentation where measurable. A downstream text-to-SPARQL experiment with Gemma 4 (26B) reaches 27.3% Row-Matching F1 (+17.5 pp over zero-shot) on 12 held-out buildings. BuildGraph gives facility managers and digital-twin developers a testbed for portable analytics and natural-language interfaces, and its dataset, generator, and benchmark are openly available at this https URL.
Comments: 22 pages, 3 figures. Data paper. Dataset, generator, and 75-query SPARQL benchmark openly available at this https URL and this https URL
Subjects: Databases (cs.DB)
ACM classes: H.2.3; I.2.4; I.2.7
Cite as: arXiv:2610.00038 [cs.DB]
  (or arXiv:2610.00038v1 [cs.DB] for this version)
  https://doi.org/10.48550/arXiv.2610.00038

arXiv-issued DOI via DataCite

Submission history

From: Wooyoung Jung [view email]
[v1] Wed, 2 Sep 2026 21:14:26 UTC (126 KB)

来源:arXiv 建筑语义标准论文 · arxiv.org