Remove Knowledge Discovery Remove Reference Remove Structured Data
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The Semantic Web: 20 Years And a Handful of Enterprise Knowledge Graphs Later

Ontotext

We rather see it as a new paradigm that is revolutionizing enterprise data integration and knowledge discovery. Enterprise knowledge graphs came as a second wave to serve a different purpose – they use ontologies to make explicit various conceptual models (schemas, taxonomies, vocabularies, etc.)

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On the Hunt for Patterns: from Hippocrates to Supercomputers

Ontotext

These are the so-called supercomputers, led by a smart legion of researchers and practitioners in the fields of data-driven knowledge discovery. Thanks to their might, now scientists and practitioners can develop innovative ways of collecting, storing, processing, and, ultimately, finding patterns in data. Certainly not!

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Knowledge Graphs 101: The Story (and Benefits) Behind the Hype

Ontotext

The use of knowledge graphs has an enormous effect on various systems and processes which is why Garner predicts that by 2025, graph technologies will be used in 80% of data and analytics innovations, up from 10% in 2021, facilitating rapid decision-making across the enterprise.