Development of computational representations and knowledge systems for biological entities, relationships, and scientific information.
Projects may include ontologies, knowledge graphs, biological embeddings, entity linking, metadata, and semantic retrieval.
These systems can organize biological knowledge and support search, analysis, integration, and AI-based research tools.
Implementation is selected according to the available data, technical constraints, required level of automation, and the existing software or research environment. The solution can be implemented as a standalone component or integrated into a larger system.
The resulting system is intended to provide a clear computational workflow that can be evaluated, maintained, and extended as the project develops. Model choice, data processing, interfaces, and deployment can therefore be adapted to the requirements of the specific project.