  In the biotechnology and biomedical domains, recent text mining efforts
advocate for machine-interpretable, and preferably, semantified, documentation
formats of laboratory processes. This includes wet-lab protocols, (in)organic
materials synthesis reactions, genetic manipulations and procedures for faster
computer-mediated analysis and predictions. Herein, we present our work on the
representation of semantified bioassays in the Open Research Knowledge Graph
(ORKG). In particular, we describe a semantification system work-in-progress to
generate, automatically and quickly, the critical semantified bioassay data
mass needed to foster a consistent user audience to adopt the ORKG for
recording their bioassays and facilitate the organisation of research,
according to FAIR principles.
