Incorporating New Concepts Into the Scientific Variables Ontology

We present a preliminary methodology, currently in development, for automated generation of domain-specific, machine-readable representations of qualitative and quantitative scientific variable concepts. The method presented is based on the top level universal categories and modular design patterns declared within the Scientific Variables Ontology (v 1.0.0) blueprint. These scientific variable representations can be used to annotate electronic resources, such as data and models and, along with reasoning algorithms, can be used to provide explainable automated resource alignment capabilities in the assembly of scientific workflows.