The Science knowledge graph ontologies, a.k.a. SKGO, is a suite of OWL ontology models to capture the knowledge of scientific research data, via publications, by interlinking domain-specific information, and allow access of these data in a machine-readable, transparent and comparable manner.
Is your feature request related to a problem? Please describe.
Not a problem, I would like to add cheminformaticsas a subdiscipline under chemistry
Additional context
I am willing to write the descriptive text and submit as a PR to the repo. Do you have any advice about doing this? Should it be in TTL by default for instance?
I really like the approach of the ModSci ontology. Could you imagine to detail the physics/chemistry section and add terms like x-ray diffraction (XRD), quasi-elastic neutron spectroscopy (QENS), molecular dynamics simulation (MD), and high energy physics (HEP). Or is this collection intended to stay at an higher level?
Is your feature request related to a problem? Please describe.
no.
For ModSci ontology:
I'd suggest integrating several existing taxonomies of research fields, such as Field of Research (FoR) by ANZSRC and Dewey Decimal Classification scheme.
Add a table in the documentation with the statistics of the ontology, e.g., number of classes, number of object properties, .. etc.
At the top right corner, there is no need for language "en". I think this would be more appropriate if your documentation is written in more than one language.
Add a Sparql endpoint.
Datamining is not a subClassOf Database. According to Wikipedia "Data mining is an interdisciplinary subfield of computer science and statistics".