Collaborate on Annotation Schemas for Scientific Processes
Collaborate on developing annotation schemas for scientific process descriptions to enhance comparability and reusability of scientific text resources.
A community-driven initiative is seeking collaborators to develop annotation schemas for scientific process descriptions in research articles, inspired by schema.org. The resulting schemas will be published in the Open Research Knowledge Graph (ORKG) and form the basis of a paper in Nature Scientific Data.
The goal is to define annotation schemas for experimental and simulation processes, capturing inputs, conditions, outputs, roles, and relations, and to populate them from full-text articles.
- Provide collections of full-text articles (~50+) describing a specific experimental or simulation process.
- Offer expert feedback on automatically mined process schemas.
- Run the schema-miner workflow and help refine the resulting schema.
To participate, register your interest using this form by January 31, 2026.
Tags: annotation schemas, scientific processes, research articles, Open Research Knowledge Graph, schema.org, NLP, corpus linguistics