Data-centric knowledge
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Data-centric knowledge is a formalized mapping of concepts to data points. Its universal applicability is based on the representability assumption of Kan-Extension. Kan extension states that all concepts and idealized knowledge are representable through functors from a domain of complex data types to uniquely identifiable data entries in set-theoretic format. This means that knowledge of any kinds can all be stored or represented using concrete data points stored in databases.