PROCESSING A NATURAL LANGUAGE QUERY USING SEMANTICS MACHINE LEARNING

A database server in a system supporting a cloud platform may train a machine learning model on a set of reports generated by a tenant. Each report of the set of reports may include a title and a query for one or more data objects associated with the tenant. The database server may identify a data l...

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Bibliographic Details
Main Authors Acevedo, Nelson Esteban, Surepeddi, Srilakshmi Anusha, Zheng, Zuye
Format Patent
LanguageEnglish
Published 20.05.2021
Subjects
CALCULATING
COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS
COMPUTING
COUNTING
ELECTRIC DIGITAL DATA PROCESSING
PHYSICS
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Summary:A database server in a system supporting a cloud platform may train a machine learning model on a set of reports generated by a tenant. Each report of the set of reports may include a title and a query for one or more data objects associated with the tenant. The database server may identify a data lineage for a data set associated with the tenant, where the data set is stored across multiple data sources and includes at least the one or more data objects. The database server may receive a natural language query associated with the data set and generate a set of candidate queries from the natural language query based on the machine learning model and the data lineage. The database server may select one or more of the candidate queries for display on a user interface based on a ranking of the plurality of candidate queries.
Bibliography:Application Number: US202016908465