Knowledge graph generation method, information recommendation method and device and electronic equipment

Abstract

The invention provides a method for generating a knowledge graph, an information recommendation method and device and electronic equipment, and relates to the technical field of data processing, in particular to the technical field of artificial intelligence such as the knowledge graph and NLP. According to the specific implementation scheme, multiple fault information sets are determined, and each fault information set comprises multiple pieces of fault information; for each fault information set, determining an entity type of each piece of fault information in the plurality of pieces of fault information; n pieces of fault information with the same entity type are determined from the multiple pieces of fault information, and N is an integer larger than or equal to 2; according to the N pieces of fault information, multiple information pairs are determined, and each information pair comprises two pieces of fault information meeting the incidence relation; according to the multiple pieces of fault information and the incidence relation, a knowledge graph is generated, the knowledge graph comprises nodes in one-to-one correspondence with the multiple pieces of fault information in each fault information set, and the two nodes corresponding to the two pieces of fault information meeting the incidence relation are connected through a first edge.

Description

Technical field [0001] The present disclosure relates to the field of data processing, in particular, to the artificial intelligence technology of knowledge map, NLP, etc., and more particularly, the present disclosure provides a method, information recommendation method, device, electronic device, storage medium, and computer program. product. Background technique [0002] For example, companies such as new energy, petrochemical and other industries need to use a large number of equipment, and the operation and maintenance and maintenance personnel in the enterprise will check the equipment, and record information related to faults, such as fault phenomena, solutions, etc. However, different operation and maintenance service will use different text to describe the same fault information, which leads to the same, similar fault information in the operation and maintenance record of the enterprise, is stored as multiple fault information, which is not conducive to the operation and...

AI Technical Summary

Problems solved by technology

However, different operation and maintenance personnel will use different texts to describe the same fault information, which causes the same and similar fault information to be stored as multiple fault information in the internal operation and maintenance records of the enterprise, which is not conducive to the operation and maintenance records. Quickly and accurately search the required fault information in

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