Abstract: A computer-implemented method for obtaining a datasource schema comprising column-specific data-types and/or semantic-types from received tabular data records with values arranged in rows and columns, said method including: extracting a feature vector record comprising data-type recognition features for each of one or more columns of the received input tabular records; feeding the extracted feature vector records to a pretrained type classification discriminative machine learning model; using said model for classifying each extracted feature vector record of a corresponding column of received input tabular records into an estimated data-type and/or semantic-type, respectively, of the corresponding column. It is further disclosed a computer program product, a computer system and a method for training a machine learning model for obtaining the datasource schema.