Ontotext

AUGUST 19, 2020

Metadata used to be a secret shared between system programmers and the data. Metadata described the data in terms of cardinality, data types such as strings vs integers, and primary or foreign key relationships. Inevitably, the information that could and needed to be expressed by metadata increased in complexity.

Metadata 59

Metadata Knowledge Discovery Cost-Benefit Data Governance 59

Ontotext

DECEMBER 1, 2023

Content and data management solutions based on knowledge graphs are becoming increasingly important across enterprises. If we want to understand and describe how things work and relate, unambiguously exchange data, or reuse it, we need a semantic data model. Abstract art and knowledge graphs: embracing your mess!

Metadata 78

Metadata Sales Consulting Enterprise 78

Ontotext

MARCH 8, 2023

Specifically, the increasing amount of data being generated and collected, and the need to make sense of it, and its use in artificial intelligence and machine learning, which can benefit from the structured data and context provided by knowledge graphs. We get this question regularly. million users.

Enterprise 52

Enterprise Knowledge Discovery Risk Data-driven 52

Ontotext

FEBRUARY 21, 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. So we have built a dataset using schema.org to model and structure this content into a knowledge graph. Talk to Your Graph is user-friendly and easy to set up.

Knowledge Discovery 64

Knowledge Discovery Technology Metadata Data-driven 64