Overview
The 1st Smarter Extraction of ScholArly MEtadata using Knowledge Graphs and Language Models (SESAME) Workshop is set to take place during the JCDL 2025 conference, which will be held virtually from December 15 to 19, 2025. This workshop aims to gather researchers and practitioners to discuss the integration of AI technologies in enhancing digital library infrastructures through effective metadata extraction.
Background & Relevance
In the realm of digital libraries, the extraction and management of scholarly metadata is crucial for the organization and accessibility of research outputs. The SESAME Workshop will focus on how large language models and knowledge graphs can be utilized to improve metadata curation. This is increasingly important as the volume of digital content grows, necessitating innovative approaches to information management and retrieval.
Key Details
- Event: SESAME Workshop during JCDL 2025
- Dates: December 15-19, 2025
- Location: Virtual Event
- Submission Deadline: November 14, 2025 (Extended)
- Topics of Interest:
- Research Artifacts Metadata Modeling and Granularity
- Large Language Models (LLMs) and NLP for Metadata
- Knowledge Graphs and Linked Data
- Digital Libraries and Infrastructure
- Societal, Ethical Impact and Future Policy Directions
- Website: SESAME Workshop
Eligibility & Participation
The workshop invites submissions from researchers and practitioners interested in the intersection of AI, metadata, and digital libraries. It is particularly encouraging applied papers that demonstrate practical applications of the discussed technologies.
Submission or Application Guidelines
Participants are encouraged to submit their papers by the extended deadline. Detailed submission guidelines can be found on the workshop’s official website. Interested authors should prepare their contributions in accordance with the specified topics and formats outlined there.
Additional Context / Real-World Relevance
The integration of AI in metadata extraction not only enhances the efficiency of digital libraries but also addresses broader societal and ethical implications. As AI technologies evolve, understanding their impact on information curation and accessibility becomes essential for future policy directions in the field.
Conclusion
The SESAME Workshop presents a valuable opportunity for those engaged in AI and digital library research to contribute to meaningful discussions and advancements in metadata extraction. Researchers are encouraged to submit their work and participate in this collaborative environment to explore innovative solutions in the field.
Category: CFP & Deadlines
Tags: metadata, knowledge graphs, language models, digital libraries, nlp, ai, jcdl, societal impact
