Panel 4: Metadata Creation, Discovery, and AI Applications

Starts at
Wed, Nov 8, 2023, 10:30 South Korea Time
( 08 Nov 23 01:30 UTC)
Finishes at
Wed, Nov 8, 2023, 12:00 South Korea Time
( 08 Nov 23 03:00 UTC)
Venue
Gyeongha Hall 1
Moderator
Jian Qin

Moderator

  • Jian Qin

    Syracuse University

    Jian Qin is Professor at the School of Information Studies, Syracuse University. Her research focuses on metadata and knowledge modeling, knowledge organization, research data management, and scholarly communication. She has published widely and given presentations at numerous national and international conferences and workshops. Her research has been funded by the U.S. National Science Foundation, U.S. National Institutes for Health, and Institute for Museum and Library Services, among others. Jian Qin is a co-author of the Metadata book and the recipient of the 2020 Frederick G. Kilgour Award for Research in Library and Information Technology.

Presentations

Metadata Creation and Discovery and AI Applications

The rapid development in AI and machine learning (ML) is creating new excitements for almost all fields of learning and sectors of industry. Libraries, archives, and museums (LAMs) as cultural and social institutions are no exception. In fact, LAMs have long started the foundational work toward creating structured, semantically rich (meta)data to embrace the disruptive changes brought about by AI and ML, which will impact LAM institutions in many ways. Metadata creation and discovery as the core area of LAM work is quietly changing from traditional records of text strings to new data structures, workflows, and metadata products. Linked data, ontology models, and metadata for digitized and born digital assets form the established new services and operations in LAM institutions. There are issues to be explored and challenges to be addressed in how LAM institutions can take the full advantages of AI and ML to develop new data models and workflows. This panel presents three projects that explore the application of knowledge models/ontologies and AI & ML techniques in representing and enhancing the power of metadata in information discovery and use/reuse.

  • Shu-Jiun (Sophy) Chen

    Academia Sinica Center for Digital Culture

    Shujun (Sophy) Chen holds a PhD in library and information science from National Taiwan University and a master's degree in information science from the University of Sheffield, UK. She is the executive secretary of the Digital Culture Center of Academia Sinica and has been conducting vocabulary research projects with the Getty Research Institute for a long time. Her research interests includes knowledge organization, linked data, and digital humanities. She specializes in multilingual indexes for knowledge-based digital collection systems and focuses her research on the theory and methods of linking digital resources with ontologies for cultural memory institutions. Dr. Chen has published widely and given numerous presentations in the knowledge organization and digital humanities areas.

  • Haiqing Lin

    C.V. Starr East Asian Library, UC Berkeley

      Mr. Lin Haiqing is the director of the East Asian Library Technology Department at the University of California, Berkeley. Before joining the University of California, he served as the head of the Asian Language Department and the Asian Studies Subject Librarian at the University of Auckland, New Zealand. His research interests focus on digital libraries and the application of new information technologies in library services, especially how the development of network-based technologies promotes the transformation of academic libraries.

    • Jian Qin

      Syracuse University

      Jian Qin is Professor at the School of Information Studies, Syracuse University. Her research focuses on metadata and knowledge modeling, knowledge organization, research data management, and scholarly communication. She has published widely and given presentations at numerous national and international conferences and workshops. Her research has been funded by the U.S. National Science Foundation, U.S. National Institutes for Health, and Institute for Museum and Library Services, among others. Jian Qin is a co-author of the Metadata book and the recipient of the 2020 Frederick G. Kilgour Award for Research in Library and Information Technology.