Ontotext

DECEMBER 15, 2022

Today’s enterprises are increasingly daunted by the realization that more data doesn’t automatically equal deeper knowledge and better business decisions. Enter metadata. Metadata describes data and includes information such as how old data is, where it was created, who owns it, and what concepts (or other data) it relates to.

Metadata 52

Metadata Unstructured Data Structured Data Enterprise 52

Ontotext

JULY 29, 2021

The Semantic Web, both as a research field and a technology stack, is seeing mainstream industry interest, especially with the knowledge graph concept emerging as a pillar for data well and efficiently managed. But what exactly are we talking about when we talk about the Semantic Web?

Enterprise 124

Enterprise Metadata Knowledge Discovery Management 124

Ontotext

DECEMBER 1, 2023

Seen through the three days of Ontotext’s Knowledge Graph Forum (KGF) this year, complexity was not only empowering but key to the growth of knowledge and innovation. Content and data management solutions based on knowledge graphs are becoming increasingly important across enterprises.

Metadata 78

Metadata Sales Machine Learning Consulting 78

Ontotext

JULY 14, 2021

In the last couple of years, we’ve had so many Ontotext webinars on interesting topics, attended by an increasing number of people, asking more and more questions that we’ve decided to start a new series of blog posts dedicated to them. Webinar: Knowledge Graph Maps: 20+ Application and 30+ Capabilities.

Management 52

Management Metadata Cost-Benefit Enterprise 52

Ontotext

JANUARY 25, 2024

Not surprisingly, the last decade has witnessed a paradigm shift in enterprise data management, leading to a rise in leveraging knowledge graphs. Not surprisingly, the last decade has witnessed a paradigm shift in enterprise data management, leading to a rise in leveraging knowledge graphs.

Enterprise 64

Enterprise Management Cost-Benefit Metadata 64

Ontotext

JULY 6, 2023

This shift of both a technical and an outcome mindset allows them to establish a centralized metadata hub for their data assets and effortlessly access information from diverse systems that previously had limited interaction. Knowledge organization (e.g., internal metadata, industry ontologies, etc.)

Cost-Benefit 52

Cost-Benefit Metadata Experimentation Risk 52

Ontotext

AUGUST 22, 2024

This is part of Ontotext’s AI-in-Action initiative aimed at enabling data scientists and engineers to benefit from the AI capabilities of our products. What’s the difference between a graph and a knowledge graph? You can play with this service interactively at [link].

Contextual Data 69

Contextual Data Metadata Modeling Interactive 69