DCMI 2026
3–7 August 2026
Meaning-Driven AI: Using Metadata to Align Systems with Human Values
National Library of Korea, Seoul
The 24th International Conference on Dublin Core and Metadata Applications brings together leading experts and researchers to explore the strategic role of metadata in the development of artificial intelligence.
In a rapidly evolving AI landscape, metadata plays a critical role in enhancing the quality, reliability, and interoperability of information, helping to create systems that are more accurate, transparent, and interpretable.
At the heart of the 2026 conference is the need to examine how structured data can represent human values, preferences, and experiences, enabling AI systems that are increasingly aligned with the needs of individuals and society.
During the conference, Tiziana Possemato (@CULT – Casalini Libri Group) will contribute to the international discussion through the following presentations:
- From Cataloguing Rules to Community Best Practices: Governing Collaborative Entity-Based Knowledge Graphs - This presentation will showcase the experience of the Share Family community in developing collaborative approaches to managing entity-based metadata and shared knowledge graphs. Through the use of JCricket, an entity editor operating on a multi-source knowledge graph, the session will illustrate the best practices adopted to ensure quality, consistency, transparency, and trust in the collaborative management of data. The experience demonstrates how, within the linked data ecosystem, collaborative governance, interoperability, and shared responsibility are becoming key drivers in the evolution of cataloguing and in the development of increasingly effective metadata frameworks to support AI systems.
- BIBFRAME in Practice: Global Perspectives on Implementation, Challenges, and Lessons Learned - This panel discussion will bring together international experts to share experiences and perspectives on the implementation of BIBFRAME, the leading model shaping the evolution of bibliographic metadata within the linked data ecosystem. The discussion will highlight key challenges and opportunities related to interoperability, sustainability, and innovation—issues that are becoming increasingly strategic for the development of advanced information infrastructures and for supporting next-generation AI applications.