A computer-implemented method, computer system and machine readable medium. The method includes performing a set of parameterizations of a plurality of semantic concepts, each parameterization of the set including: receiving existing data at a computer system on the plurality of semantic concepts, the existing data including processed output data from a plurality of neural network-based computing systems (NNBCSs), the processed output data corresponding to a plurality of distinct data domains associated with respective ones of the NNBCSs; generating a data structure to define a continuous vector space of a digital knowledge graph (DKG) based on the existing data; and storing the data structure in the memory circuitry; and in response to a determination that error rates from a processing of data sets by the plurality of NNBCSs are below respective predetermined thresholds, generating a training model.
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