SESAME-2025: Smarter Extraction of ScholArly MEtadata using Knowledge Graphs and Language Models

Smarter Extraction of Scholarly Metadata using Knowledge Graphs and Language Models (SESAME). The mission statement of SESAME is to bring together researchers and practitioners to explore how AI-driven curation approaches leveraging large language models and knowledge graphs to strengthen digital libraries infrastructures. The proposed workshop is intended for a broader spectrum of participants within the JCDL community, including researchers, data curators, and policy makers.

The thematic coverage of the event includes, but is not restricted to, the following topics: digital libraries, information extraction, large language models and knowledge graphs.