Ontotext

DECEMBER 1, 2023

In an engaging narrative built on the premise that most organizations are not ready for a knowledge graph, Lance talked about the usual pitfalls when building such a solution. According to him, “failing to ensure data quality in capturing and structuring knowledge, turns any knowledge graph into a piece of abstract art”.

Metadata 78

Metadata Sales Consulting Enterprise 78

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. Linked Data, subscriptions, purchased datasets, etc.). We get this question regularly.

Enterprise 52

Enterprise Knowledge Discovery Risk Data-driven 52

Ontotext

JULY 29, 2021

We rather see it as a new paradigm that is revolutionizing enterprise data integration and knowledge discovery. The most advanced enterprise knowledge graphs 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

AUGUST 31, 2023

RDF RDFS SPARQL OWL SHACL RDF-star SKOS If you have data you want to optimize and extract knowledge from, check out metaphactory and see how it can help your enterprise. Imagine that you want to optimize your supply chain using machine learning. But what does it mean to ‘optimize the supply chain’?

Modeling 64

Modeling Optimization Knowledge Discovery Enterprise 64