Generation method and system for operation and maintenance knowledge graph

Abstract

The invention discloses a generation method and system for an operation and maintenance knowledge graph. The method comprises the following steps that: adopting an extraction method based on semantic analysis and machine learning to extract an original operation and maintenance knowledge data source to obtain a candidate knowledge unit; adopting a fusion method based on correlation and a confidence coefficient to carry out knowledge fusion on the candidate knowledge unit to obtain a knowledge fusion result; carrying out processing on the knowledge fusion result to obtain the operation and maintenance knowledge graph, wherein the operation and maintenance knowledge graph consists of a mutual relationship between operation and maintenance knowledge entities; and obtaining the new operation and maintenance knowledge data source to carry out adaptive update on the operation and maintenance knowledge graph. Since the method comprises the step that the new operation and maintenance knowledge data source is obtained to carry out adaptive update on the operation and maintenance knowledge graph, instantaneity is high; and the extraction method based on the semantic analysis and the machine learning and the fusion method based on the correlation and the confidence coefficient are comprehensively adopted, efficiency is higher, cost is lower, and the method is more convenient. The method can be widely applied to the field of computer application.

Description

technical field [0001] The invention relates to the field of computer applications, in particular to a method and system for generating an operation and maintenance knowledge map. Background technique [0002] With the advent of knowledge economy today, knowledge has been promoted to the position of strategic resources by enterprises, and it is imperative for enterprises to adopt knowledge management. As the business system becomes larger, the business logic becomes more complex, the system changes more frequently, and the work requirements become higher and higher, it becomes more and more difficult to operate and manage the business support network. By building a unified knowledge base with rich content and everyone's participation, it can achieve the purpose of establishing knowledge upload and release channels for enterprises, building a learning business support team, and helping the company's long-term sustainable and healthy development. [0003] Knowledge Management...

AI Technical Summary

Problems solved by technology

However, due to factors such as insufficient data sources and unclear usage scenarios, knowledge graphs have not been applied to the field of operation and maintenance informatization

At present, the field of operation and maintenance informat

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