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From Data Silos to Data Fabric with Knowledge Graphs

Ontotext

It must not attempt to force or predict how the data is to be used but to enable that decision to be made by today’s user (and tomorrow’s) while still maintaining organization appropriate access control and security. Connecting the data in a graph allows concepts and entities to complement each other’s description.

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Top Graph Use Cases and Enterprise Applications (with Real World Examples)

Ontotext

Gartner predicts that graph technologies will be used in 80% of data and analytics innovations by 2025, up from 10% in 2021. Several factors are driving the adoption of knowledge graphs. Linked Data, subscriptions, purchased datasets, etc.). We get this question regularly.

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Knowledge Graphs and Healthcare

Ontotext

Compared with other industries, healthcare has a fair amount of structured data, which is helpful. What is needed is a technology that can extract and retain the meaning of any new knowledge as well as being able to provide provenance for each underlying fact supporting the scientific conclusions. How Ontotext Helps.

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The Semantic Web: 20 Years And a Handful of Enterprise Knowledge Graphs Later

Ontotext

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. And what are the commercial implications of semantic technologies for enterprise data?