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arXiv · 2405.16345

Cypher4BIM: Releasing the Power of Graph for Building Knowledge Discovery

Junxiang Zhu·Nicholas Nisbet·Mengtian Yin·Ran Wei·Ioannis Brilakis
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Abstract

Graph is considered a promising way for managing building information. A new graphic form of IFC (Industry Foundation Classes) data has just been developed, referred to as IFC-Graph. However, understanding of IFC-Graph is insufficient, especially for information query. This study aims to explore graphic building information query and develop a graph query language tailored for IFC-Graph. A series of tasks were carried out, including a) investigating the structure of IFC data and the main types of information in IFC, b) investigating the graph query language Cypher, and c) developing a set of tailored functional query patterns. The developed language is referred to as Cypher4BIM. Five IFC models were used for validation, and the result shows that Cypher4BIM can query individual instances and complex relations from IFC, such as spatial structure, space boundary, and space accessibility. This study contributes to applications that require effective building information query, such as digital twin.

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Junxiang Zhu, Nicholas Nisbet, Mengtian Yin, Ran Wei, Ioannis Brilakis. 2024-05-25. Cypher4BIM: Releasing the Power of Graph for Building Knowledge Discovery. https://doi.org/10.1016/j.autcon.2025.106034

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