How to Scale a Semantic Layer with Interoperable Ontologies

A Semantic Layer is the framework for connecting data from multiple sources and formats in both a human- and machine-readable way that enables organizations to understand the meaning of their data, extract contextualized information, and discover new insights. A key part of a mature Semantic Layer is an ontology, which is a formal representation of the logic implicit in different knowledge assets. The ontology captures the entities and relationships that are important for understanding and utilizing relevant information. Maturing a semantic layer almost always requires multiple ontologies to connect data across an organization. One of the best ways to consistently scale multiple models is to utilize an ontology hierarchy.