Ontotext

MARCH 8, 2023

Here, I will draw upon our own experience from client projects and lessons learned to provide a selection of optimal use cases for knowledge graphs and semantic solutions along with real world examples of their applications. For many organizations, however, the question remains, “Is it the right solution for us?” million users.

Enterprise 52

Enterprise Knowledge Discovery Risk Data-driven 52

Ontotext

JULY 29, 2021

Knowledge graphs (KG) came later, but quickly became a powerful driver for adoption of Semantic Web standards and all species of semantic technology implementing them. This way KGs help organizations smarten up proprietary information by using global knowledge as context for interpretation and source for enrichment.

Enterprise 124

Enterprise Metadata Knowledge Discovery Management 124

Ontotext

FEBRUARY 21, 2024

So we can easily integrate the information from both textual documents and structured RDF entities into an LLM-driven application. Example use case: Ontotext Knowledge Graph For illustration, we will use a project developed internally by Ontotext that we call “Ontotext Knowledge Graph” or OTKG for short.

Knowledge Discovery 64

Knowledge Discovery Technology Metadata Data-driven 64