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.
Architecting Trust Before Implementation: Governance Design and Policy Readiness in Taiwan’s Data Space Guidance Framework
As global data economies transition toward federated ecosystems, establishing cross-domain trust and seamless semantic alignment remains a pivotal policy objective for emerging digital nations. This presentation shares the strategic governance design and preliminary policy insights from the "Taiwan Data Space Creation Guidance Framework," an initiative spearheaded by the Ministry of Digital Affairs (moda) to guide Taiwan through its preparatory and pre-implementation phases.
Reflecting international benchmarks, such as the European Data Spaces Support Centre (DSSC) blueprints and Japan’s Information-technology Promotion Agency (IPA) guidebooks, Taiwan’s forthcoming guidance draft formulates a phased roadmap across business, legal, operational, and technical dimensions, customized for an ecosystem at the inception stage. Prior to deploying physical infrastructure, the framework prioritizes the "soft infrastructure" principles needed to operationalize trust. It focuses on the strategic design of Identity and Attestation Management.
Crucially, this session highlights how metadata governance serves as the architectural backbone during this foundational blueprinting phase. By integrating standardized specifications, such as DCAT application profiles, Taiwan envisions a model to guarantee future resource discoverability and data quality without proprietary vendor lock-in. Furthermore, the framework translates abstract legal frameworks into machine-readable readiness models, utilizing Open Digital Rights Language (ODRL) formalisms to design policy enforcement mechanisms long before data plane transactions occur.
By charting Taiwan’s journey in defining clear rules, stakeholder roles, and interoperability standards during its inception phase, this presentation underscores the significance of institutional preparation. It outlines a visionary roadmap for a resilient data mesh where public sectors, national access points, and private enterprises can confidently co-create value in a secure, sovereign environment.
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Hao-Ren KE
Dean of School of Learning Informatics
National Taiwan Normal University
Hao-Ren Ke is the Dean of the School of Learning Informatics at National Taiwan Normal University (NTNU). From 2013 to 2022, he held the position of University Librarian at NTNU. In addition to his academic roles, he serves as the President of the Library Association of the Republic of China (Taiwan). Hao-Ren Ke's research interests lie in various areas, including SDGs in libraries, media and information literacy, library performance measurement, digital library/archives, library and information systems, information retrieval, Web mining, and digital humanities.
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.
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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.
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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
Lead Data Taxonomist & Ontologist
The New York Times
Josh Falconer is the incoming Lead Data Taxonomist & Ontologist at The New York Times. He joins from Bloomberg, where he was Senior Ontologist, modeling events and states for an enterprise knowledge graph, and previously was Ontologist at Indeed. For over a decade, he served in bibliographic metadata cataloging roles focusing on Middle Eastern and North African 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 MSLIS from UIUC and is now studying computer science at CU Boulder. -
Inkyung Choi
Assistant Professor
Sungkyunkwan University
Inkyung Choi is an Assistant Professor in the Department of Library and Information Science at Sungkyunkwan University. As a current FAIR Fellow, she specializes in metadata architecture, ontology engineering, and knowledge organization, with a focus on implementing FAIR principles to enhance data interoperability and reuse. Her current research focuses on developing a standard-based Knowledge Graph aiming to transform fragmented domain information into sustainable, machine-actionable knowledge infrastructures for AI-driven scientific discovery.
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
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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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