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

Ontotext

17 years later, in the third edition of The Semantic Web for the Working Ontologist , authors Dean Allemang, Hedler and Gandon covered these same perspectives with one distilled explanation: The Semantic Web faces the problem of distributed data head-on. Read about schema.org and LOD in our Knowledge Hub ).