Scientific data is stored in many repositories which are not necessarily interoperable. Integrating metadata into a Linked Data Knowledge Graph solves this, which is a goal of the Connectome project.
We are looking for diverse teams of researchers and developers with Text-Data-Mining or Natural-Language-Processing expertise. The aim is to implement features for automatic entity-extraction from abstracts and their integration into the Connectome’s Linked Data Pipeline.
Scientific data is stored in many repositories which are not necessarily interoperable. Integrating metadata into a Linked Data Knowledge Graph solves this, which is a goal of the Connectome project.
We are looking for diverse teams of researchers and developers with Text-Data-Mining or Natural-Language-Processing expertise. The aim is to implement features for automatic entity-extraction from abstracts and their integration into the Connectome’s Linked Data Pipeline.