Ruminating on Ontology

Ontology is nothing but the structure of knowledge (a language to represent knowledge). The primary objective of an Ontology is to describe the knowledge about a domain (concepts and relationships). 

In data science, ontologies can be used to create a semantic layer on top of existing data to make existing organizational data FAIR (Findable, Accessible, Interoperable and Reusable). 

Protege (https://protege.stanford.edu/) is an excellent free opensource tool to create ontologies. A fun example of a pizza ontology can be found here. 

The Web Ontology Language (OWL) is a suite of knowledge representation languages for authoring ontologies. For UML lovers, there is also a OWL profile for UML. A good example of using the OWL profile for UML is here - https://www.researchgate.net/figure/A-first-sample-ontology-depicted-using-the-UML-profile-for-OWL-ontologies_fig4_228867697