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On the Hunt for Patterns: from Hippocrates to Supercomputers

Ontotext

Ever since Hippocrates founded his school of medicine in ancient Greece some 2,500 years ago, writes Hannah Fry in her book Hello World: Being Human in the Age of Algorithms , what has been fundamental to healthcare (as she calls it “the fight to keep us healthy”) was observation, experimentation and the analysis of data.

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Knowledge Graphs and Healthcare

Ontotext

A) The healthcare industry has the advantage of an enormous amount of data upon which to create hypotheses for new treatments. B) The healthcare industry has the disadvantage of an enormous amount of data upon which to create hypotheses for new treatments. The data will be fragmented across a variety of systems across the globe.

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

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The Semantic Web started in the late 90’s as a fascinating vision for a web of data, which is easy to interpret by both humans and machines. In this post you will discover the aspects of the Semantic Web that are key to enterprise data, knowledge and content management. Source: tag.ontotext.com. What is it? Which Semantic Web?

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

Ontotext

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. Linked Data, subscriptions, purchased datasets, etc.).

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From Data Silos to Data Fabric with Knowledge Graphs

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What Makes a Data Fabric? Data Fabric’ has reached where ‘Cloud Computing’ and ‘Grid Computing’ once trod. Data Fabric hit the Gartner top ten in 2019. This multiplicity of data leads to the growth silos, which in turns increases the cost of integration. It is a buzzword.