This Talk will take place in English exclusively on Zoom. Registration is not required to attend.
Abstract:
Generative AI and in particular Large Language Models have significantly impacted all areas of science, especially data-intensive disciplines, such as bioinformatics. While Large Language Models bring new opportunities for democratizing access to data and knowledge, they are imperfect tools, due to hallucinations, knowledge cut-off times and training costs. Therefore, today more than ever, the rich ecosystem of structured data collected and curated over time in scientific repositories remains the trusted foundation for knowledge access, to which novel Generative AI services can bring significant added value as natural language interfaces.
In this talk, I will highlight some of the opportunities of Generative AI for knowledge discovery and exploration, through the examples of large-scale initiatives such as the European Open Science Cloud (EOSC) Data Commons project, which aims to build a platform for data and tools discovery and matching across the European research landscape.
Speaker:
Dr. Ana Claudia Sima co-leads the Knowledge Representation Unit at the SIB Swiss Institute of Bioinformatics, specialized in Data and Knowledge Management through knowledge graphs, ontologies and semantic search platforms. With a background in Computer Science and an interdisciplinary PhD in Search over Bioinformatics Databases, she is currently involved in several European projects with the mission of democratizing access to scientific data, for example through contributions in the European Open Science Cloud (EOSC) FIDELIS, EDEN and Data Commons projects.
The Zentralbibliothek Zurich, the CERN Scientific Information Service, and AILIS (Association of International Librarians and Information Specialists, Geneva) jointly organize the Library Science Talks. A programme of talks for 2025 can be found on the AILIS website.