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These are the so-called supercomputers, led by a smart legion of researchers and practitioners in the fields of data-driven knowledgediscovery. Thanks to their might, now scientists and practitioners can develop innovative ways of collecting, storing, processing, and, ultimately, finding patterns in data. Certainly not!
We rather see it as a new paradigm that is revolutionizing enterprise data integration and knowledgediscovery. Providing a formal unified conceptual model, ontologies enable unified access to and correct interpretation of diverse information and greatly facilitate analytics, decision making and knowledge re-use.
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 structureddata and context provided by knowledge graphs. Linked Data, subscriptions, purchased datasets, etc.).
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. The definition of one entity includes another entity.
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