Data classification for data lake catalog
AssigneeInternational Business Machines Corporation
InventorsMarcio T. Moura, Qiqing C. Ouyang, Jo A. Ramos, Deepak Rangarao
Life of this patent
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Abstract
Data classification extracts from structured text business data inputs, via natural language understanding processing, training set data elements (training keywords, training concepts, training entities, and/or training taxonomy classifications). Embodiments identify associations within the structured training business data of business class categories with respective ones of extracted training set data elements, and build a logical relationship data classification training knowledge base ontology that connects business classes to respective associated ones of extracted training data elements as questions into knowledge base ontology question-business class associations.
Claims8
A computer-implemented method for a data classifier the method comprising executing on a computer processor:
- extracting from a structured text business data input, via natural language understanding processing, training set data elements that are selected from the group consisting of training keywords, training concepts, training entities, and training taxonomy classifications;
- identifying associations within the structured text business data of each of a plurality of business classes with respective ones of the extracted training set data elements, wherein the business classes comprise at least one of business terms, entity names, attribute names, and column names;
- and
- building a logical relationship data classification training knowledge base ontology that connects ones of the business classes to respective associated ones of the extracted training data elements as questions, into a plurality of knowledge base ontology question-business class associations.
Dependencies are inferred from the claim text.