Stacks Exchange: Field Notes-a new graduate student research series

Join us for a new graduate student series on collecting/using data in creative ways across all disciplines. Whether you're just dipping your toes into the AI wave, actively seeking AI solutions for your work, or an experienced researcher in the field, come join for the launch of this new talk series and an engaging lunchtime conversation. 

The first event will feature a presentation by Chongwen Liu, PhD Candidate in Conservation of Material Culture, UCLA/Getty Interdepartmental Program (IDP) and co-organizer of the series.

Title: Application of Knowledge Graph-Driven AI in Cultural Heritage Conservation

Cultural heritage conservation involves fragmented, multi-disciplinary knowledge and high-stakes decisions that must translate into real-world preservation actions. My research explores how knowledge graph (KG)–driven AI can address these challenges by connecting discrete knowledge bases, improving accessibility and supporting structured decision-making.

In this talk, Liu will share Field Notes tracing two interconnected technological storylines of KG: 1) the evolution of Semantic Web and Linked Data infrastructures, and 2) the recent efforts to reduce LLM hallucination using frameworks from baseline Retrieval Augmented Generation (RAG) to graph-based RAG, discussing their development, accessibility and current use cases. Focusing on the Stack Exchange, he will draw from his implementation experience to talk about selection criteria for different graph-based RAG methods, outline key technical steps in building a KG-driven AI framework, and share practical development notes using tools/frameworks, such as Neo4j or GraphRAG. 

Schedule: 

12:00 p.m.–12:30 p.m.: Lunch
12:30 p.m.– 1:30 p.m.: Presentation by Chongwen Liu, PhD Candidate in Conservation of Material Culture, UCLA/Getty Interdepartmental Program (IDP) and co-organizer of the series
Audience Q&A to follow