Abstract: A computing system including memory storing a table including a plurality of entries arranged in a plurality of rows and a plurality of columns. The memory may further store a knowledge graph in which semantic data is stored. The computing system may further include a processor configured to, at a metadata inference machine learning model, generate inferred table metadata based at least in part on the entries included in the table and the semantic data included in the knowledge graph. The inferred table metadata may include one or more row type classifications of one or more respective rows or one or more column type classifications of one or more respective columns. The processor may be further configured to generate a metadata display interface element that visually represents the inferred table metadata and output the metadata display interface element for display at a graphical user interface (GUI).

Abstract: An electronic processor implemented method of providing results for a dataset. The method includes receiving the dataset and a user query relating to the dataset. The method further includes determining a language associated with a language-dependent data element in the dataset, and converting, based on the determined language, the language-dependent data element into a numerical representation of the language-dependent data element and assigning a classification to the numerical representation of the language-dependent data element. The method further includes generating an insight result based on the user query and the dataset including the numerical representation of the language-dependent data element and the assigned classification. The insight result includes at least one result from a data analysis of the dataset based on the user query. The method further includes outputting the insight result to a user interface.