Data full life cycle operation and maintenance management system and method

Abstract

The invention discloses a data full life cycle operation and maintenance management system and method, and the method comprises the steps: firstly extracting the data attribute information of source data after the preprocessing and quality evaluation of the source data, including the data source, the creation time, the updating frequency and the field definition; and a data processing and semantic comprehension algorithm based on artificial intelligence and natural language processing technologies is introduced at the rear end to encode content semantics and attribute information of the source data, and then data classification is performed by using significant feature interaction joint representation between the content semantics and the attribute semantics of the source data. Therefore, the key interaction semantic information between the content of the data and the attribute information can be comprehensively utilized during data classification and archiving, and the attribute metadata are utilized to guide the classification and management of the data, so that the validity and the security of the data can be ensured, and more comprehensive data full-life-cycle operation and maintenance management can be realized.

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