The Ontology-Based eXtensible data model (OBX) was developed to serve as a framework for the development of a clinical research database in the Immunology Database and Analysis Portal (ImmPort) system ...

Context graphs, graph memory, and ontologies for AI are converging. What does this mean for enterprise AI in 2026?

An ontology is a logic-based organizational structure for knowledge. Ontologies speed genetic discovery by allowing researchers to quickly find and compare data from multiple sources. Logicians view ...

As semantics and linked data become increasingly mainstream, one question that seems to be asked increasingly has to do with a comparatively recent term, ontology, and how ontologies differ from ...

AI agents can’t just guess what your data means; they need an "ontology" to act as a shared rulebook so they don't make confident, expensive mistakes. A data ontology starts with a simple but powerful ...

The MS in Applied Ontology at the University at Buffalo is the first fully online master’s degree dedicated to this field. Applied ontology integrates philosophy and information science to help ...

Engineering projects for all agencies within the U.S. Department of Defense (DOD) and intelligence community (IC) will rely on a critical resource created and maintained under the leadership of Barry ...

Genie Ontology aims to unify business definitions across systems, but analysts say data quality and governance will make or ...

Enterprises are investing billions of dollars in AI agents and infrastructure to transform business processes. However, we are seeing limited success in real-world applications, often due to the ...