A Knowledge Graph Based Common Data Environment Solution for Building Seismic Loss Estimation

13 pages•Published: August 28, 2025

Abstract

Seismic Loss Estimation (SLE) has become a critical aspect of modern building engineering, aiding in mitigation strategies, real-time disaster response, and post-earthquake reconstruction. The FEMA P-58 method, a performance-based earthquake engineering tool, efficiently links component damage states with engineering demand parameters for comprehensive seismic loss assessment. However, managing the extensive data and semantics required for such evaluations poses challenges. This paper proposes a Knowledge Graph (KG)-based solution, integrating object-based information management principles akin to Common Data Environment (CDE) and Building Information Modeling (BIM). By leveraging KG and digital twin technologies, this approach aims to facilitate dynamic seismic loss estimation, providing stakeholders with a comprehensive view of building performance and enabling efficient data access and analysis.

Keyphrases: common data environment, fema p 58, knowledge graph, seismic loss estimation

In: Jack Cheng and Yu Yantao (editors). Proceedings of The Sixth International Conference on Civil and Building Engineering Informatics, vol 22, pages 841-853.

Links:	https://easychair.org/publications/paper/wKFp
	https://doi.org/10.29007/fb6c

BibTeX entry

@inproceedings{ICCBEI2025:Knowledge_Graph_Based_Common,
  author    = {Zeyu Pan and Jianyong Shi},
  title     = {A Knowledge Graph Based Common Data Environment Solution for Building Seismic Loss Estimation},
  booktitle = {Proceedings of The Sixth International Conference on Civil and Building Engineering Informatics},
  editor    = {Jack Cheng and Yu Yantao},
  series    = {Kalpa Publications in Computing},
  volume    = {22},
  publisher = {EasyChair},
  bibsource = {EasyChair, https://easychair.org},
  issn      = {2515-1762},
  url       = {/publications/paper/wKFp},
  doi       = {10.29007/fb6c},
  pages     = {841-853},
  year      = {2025}}

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