Category: Annotation
-
Part 2: Key Takeaways from RDA 23 on Omics Data Curation Workflows
The first part of a two-part blog series highlighted key takeaways from the 23rd RDA Plenary Meeting in San José, Costa Rica, presenting the AI/ML and interoperability topics that are relevant to FAIRLYZ. This second part will present and discuss current efforts to develop practical omics data curation workflows that include data annotation, curation, and…
-
Part 2: OntoGPT for AI-Driven Annotation of Biomedical Papers
In Part 1, we introduced a brief experiment using ChatGPT to extract specific metadata from an open-source scientific journal publication and map it to BioPortal classes. In Part 2, we will share the results of our tests with OntoGPT. To conduct larger biomedical studies, it’s essential to integrate and harmonize datasets from various sources. This…
-
Part 1: ChatGPT for AI-Driven Annotation of Biomedical Papers
Integrating and harmonizing biomedical datasets for larger studies necessitates annotating data from diverse sources using consistent terminology or ontology classes. This is crucial for machine learning and AI research, which rely on standardized datasets. Additionally, there is often a need to extract data-specific knowledge from scientific publications. We know LLMs are experts at processing written…