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DCMI-2026

Panels

The programme is still being finalized and is subject to ongoing updates as sessions are scheduled. Please check back regularly for the latest changes.

BIBFRAME in Practice: Global Perspectives on Implementation, Challenges, and Lessons Learned

As libraries worldwide transition from MARC-based cataloging to linked data environments, BIBFRAME has emerged as a widely adopted model shaping the future of bibliographic description. While BIBFRAME continues to evolve through ongoing community discussion and development, its practical implementation varies considerably depending on regional infrastructure, system platforms, staffing models, and organizational readiness. This panel brings together experts from multiple continents who are actively engaged in BIBFRAME implementation across diverse institutional and national contexts. Panelists will share their experiences, including lessons learned, challenges encountered, and strategies for navigating technical change. By highlighting both common themes and regional differences, the panel provides a grounded, comparative view of the global state of BIBFRAME implementation in 2026. The session will feature lightning talks from each panelist, followed by a moderated discussion and audience Q&A. Emphasizing practical insights over theory, it will focus on how institutions are implementing BIBFRAME today and the challenges that remain, particularly in ensuring interoperability and long-term sustainability. The format is designed to encourage cross-regional comparison and foster dialogue among BIBFRAME implementers.

  • Xiaoli Li

    Head of Content Support Services

    University of California Davis Library

    Xiaoli Li’s work focuses on the practical implementation of linked data in library systems, metadata interoperability, and supporting the library community’s transition from MARC to BIBFRAME. At University of California (UC) Davis, she participated in the library’s BIBFLOW project and has led UC Davis’ participation in collaborative linked data projects, including OCLC’s Project Passage, Linked Data for Production Phase 2, and Blue Core. Xiaoli also served as chair of the BIBFRAME Interoperability Group and has coordinated the Ex Libris Linked Open Data Working Group for the past seven years.

  • Haliza Jailani

    Senior Deputy Director/Senior Principal Librarian

    National Library Board Singapore

    Haliza Jailani is Senior Deputy Director & Senior Principal Librarian at the National Library Board Singapore. She oversees cataloguing, metadata management and linked data initiatives. Having implemented Dublin Core for digital collections and created metadata crosswalks for Singapore's libraries, archives and museums, she established linked data operations and is now operationalizing AI for metadata processes. Haliza is part of IFLA's Bibliography Section, where she advocates for national bibliographies and the impact of emerging technologies. She also serves in the DCMI Governing Board.

  • Nancy Lorimer

    Associate Director, Metadata Services

    Stanford University Libraries

    Nancy Lorimer, Associate Director for Metadata Services at Stanford University specializes in BIBFRAME, metadata standards and ontologies. A former music cataloger, she led the development of a BIBFRAME extension for performed music, now being integrated BF proper. She is Chair of the PCC Metadata Application Profiles Working Group, which is responsible for development of BF and RDA application profiles for use by members, chair of the Share VDE Entity Working Group, a member of the BIBFRAME Interoperability Group. Currently she is working on BF metadata workflows for the Blue Core project.

  • Tiziana Possemato

    Founding partner and Director of @Cult (Casalini Libri Group)

    @Cult - Casalini Libri Group

    Tiziana Possemato holds a degree in Philosophy from Sapienza University of Rome and diplomas in Archival and Library Science from the Vatican Schools. She earned a Master’s degree and a PhD in Library Science from the University of Florence. A metadata specialist, she has led national and international projects on library automation, data analysis, and information retrieval. Her work focuses on Linked Open Data and the Semantic Web. She is a member of the IFLA Bibliography Section and author of numerous publications.

Ontology for Meaning-Driven AI: Grounding, Interpretability, and Trust

Ontologies play a critical role in organizing, connecting, and enabling the reuse of information across memory institutions and other knowledge domains. As AI systems increasingly generate and consume metadata, ontologies are emerging as essential mechanisms for grounding meaning, supporting interoperability, and building trust. Yet ontology development remains uneven and challenging in AI-enabled environments, requiring new approaches that integrate human expertise, machine reasoning, and scalable workflows. This panel brings together researchers and practitioners to examine how ontology practices are evolving, focusing on design strategies, human–AI collaboration, validation, and the role of ontologies in supporting reliable, interpretable, and reusable knowledge in an AI-driven environment.

  • Myung-Ja (MJ) K, Han

    Andrew Turyn Processor/Metadata Librarian

    University of Illinois Urbana-Champaign

    Myung-Ja (MJ) K. Han is the Andrew Turyn Professor and Metadata Librarian at the University of Illinois. Her research focused on digital humanities and metadata studies, with a focus on data interoperability and the use of information technologies. MJ serves on the DataCite Metadata Working Group, the Metadata Object Description Schema (MODS) Editorial Board, and the HathiTrust Program Steering Committee. She previously served as Chair of the Program for Cooperative Cataloging (PCC), an international program that develops and maintains metadata standards adopted by libraries worldwide.

  • Sumin Leem

    Postdoctoral Associate

    University of Calgary

    Sumin Leem works on applied AI and ontology-driven workflows at Clause Technology and is a Postdoctoral Associate at the University of Calgary. Her work focuses on evidence-grounded approaches to AI-enabled metadata, interpretation, and decision-assist workflows in policy- and regulation-driven settings. She explores how semantic structures and validation practices can support grounding, interpretability, and trust in AI systems that assist expert decision-making. In industry, she builds traceable LLM/RAG workflows that preserve human judgment and semantic control.

  • Josh Falconer

    Senior Ontologist

    Bloomberg

    Josh Falconer is Senior Ontologist at Bloomberg, where he models events and states for an enterprise knowledge graph. He previously was Ontologist at Indeed, and for more than a decade served in bibliographic metadata cataloging roles focusing on manuscript collections at HMML and the Library of Congress. His research interests center on knowledge organization systems, event representation, and cross-linguistic typology. He holds an MS LIS from UIUC and is completing a BS in Computer Science at CU Boulder.

  • 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.

W3C standards for Data Spaces

As an opening remark for the panel on "Metadata-Governed Data Spaces: Trust, Usage Control, and AI-Ready Data Sharing", I will present W3C's current and upcoming work related to this topic

  • Pierre-Antoine Champin

    Principal Data Stragegist

    W3C/Inria

    Pierre-Antoine Champin joined W3C in February 2021, as a fellow from ERCIM, then from Inria. He is a member of the Technical Strategy Team, with a focus on Data Interoperability. Before that, he has been involved in many Linked Data and Semantic Web related working groups (RDF, JSON-LD...). He has been working with RDF and other Semantic Web technologies for as long as he can remember. Pierre-Antoine received an engineering degree from INSA Lyon in 1997 and a PhD in Computer Science from Université Claude Bernard Lyon 1 in 2002. He is currently based in Lyon, France.
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