Community Updates
The programme is still being finalized and is subject to ongoing updates as sessions are scheduled. Please check back regularly for the latest changes.
AI and the Transformation of Metadata Research and Practices: Global and Regional Perspectives
This edited book entitled “AI and the Transformation of Metadata Research and Practices – Global and Regional Perspectives” deals with the evolving landscape of AI applications for metadata creation and management by examining its potential benefits; addressing challenges and concerns; and exploring future trends. It aims to bridge knowledge gaps in the field by providing evidence-based insights and showcasing a diverse range of worldwide applications. It explores the anticipated impact of AI and its acceptance by metadata professionals worldwide, along with considering the transition from manual cataloguing to AI-integrated roles. A primary focus is the transformation of unstructured, intangible cultural heritage content into structured, machine-actionable knowledge, while ensuring that semantic and cultural nuances are preserved. The socio-technical issues of AI in metadata, ranging from multilingual extraction to morpho-translation are addressed. This work emphasises the need for combining human-in-the-loop workflows with robust governance frameworks to mitigate risks such as the authentication crisis of synthetic media (deepfakes), bias, hallucination and epistemic injustice. By serving as an indispensable resource for library and information science professionals, researchers, and students, the text hopes to realize AI's potential by ensuring that the AI implementation in metadata practices is both responsibly managed and beneficial to the community.
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Ying-Hsang Liu
Researcher
Professorship of Predictive Analytics, Chemnitz University of Technology
Ying-Hsang Liu is a researcher at Chemnitz University of Technology (Germany) in Predictive Analytics. With a Ph.D. in Information Science (Rutgers University, USA), he has held academic positions across five countries. His research focuses on human-centered data science, information retrieval, and AI-based systems, supported by grants from the ARC, ARDC, and Airbus. Dr. Liu has authored 65 peer-reviewed publications and two books, serves on ASIS&T and ALISE committees, and is a Distinguished Member of ASIS&T 2022.
Update on DC Academy
DCMI Academy activities (Season2, November 2025 ~ June 2026)
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Inkyung Choi
Together in Practice: Comparing LCC and DDC Assignment Across Library of Congress Bibliographic Records
Sungkyunkwan University
Dr. Inkyung Choi (she/her) is an Assistant Professor at Sungkyunkwan University (SKKU), Seoul, South Korea. Her research focuses on metadata semantics and schema design, scalable metadata aggregation, data provenance modeling, and ontology engineering for data integration and interoperability. She holds a Ph.D. in Information Studies from the University of Wisconsin-Milwaukee and an M.S. from Syracuse University. Prior to joining SKKU, she was an Associate Research Scientist at OCLC and a Teaching Assistant Professor at the University of Illinois Urbana-Champaign.
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