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Xingjie Zhu

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Open access Aug 2026

Representing Architectural Design Knowledge from Architectural Discourse: A Human–AI Collaborative Approach to High-Density School Design

This study explores how AI-assisted semantic modeling can support the extraction and organization of architectural design knowledge from large-scale design discourse through a human–AI collaborative interpretation framework to provide a methodological foundation for AI-assisted architectural knowledge retrieval, knowledge representation, and future multimodal design intelligence systems.

Xiaoyu Lin, Xingjie Zhu, Gang Yu · 0 citations

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