Knowledge Modelling for Built Heritage & Conservation

This seminar explores the conservation and revitalisation of historic built heritage, highlighting the application of knowledge representation and knowledge graphs. It provides a platform to bridge heritage studies with emerging digital methodologies, featuring three invited presentations delivered by researchers from Southeast University, China.

Date/Time: 23 October, 13:00 – 16:00
Venue: School Conference Room (SDE1-03-02)
Host Organization: Reasonable Design Lab (RDL), Department of Architecture (DOA), National University of Singapore (NUS)

Presentations & Speakers
1. Topic: An Applied Ontology for Historic Urban Conservation Planning in China: Bridging Regulatory and Spatial Knowledge

Speaker: Yujiao Wang (PhD Candidate, Lab.AAA, Southeast University / Former Visiting PhD at RDL, NUS)
Research Focus: Leveraging deep learning, knowledge models, and spatial algorithms to support urban analysis and urban conservation planning.

2. Topic: From Documentation to Communication: An AI-Based Approach to Activating Historic Urban Heritage in Zurich Old Town

Speaker: Xiao Wang (Postdoctoral Research Fellow, Lab.AAA, School of Architecture, Southeast University, China)
Research Focus: Digital methods for the conservation and renewal of historical areas, generative architectural and urban design, integrating quantitative analysis and computational design using AI.

3. Topic: From Morphology to Relations: A Spatio-Temporal Graph Study of 8,155 Chinese Traditional Villages

Speaker: Wei Feng (PhD Student, Lab.AAA, Southeast University)
Research Focus: Application of artificial intelligence to built heritage, focusing on spatiotemporal representation and graph-based learning for the analysis of historic environments.