Construction method of knowledge graph library for network fault analysis and application thereof
A network fault and knowledge graph technology, applied in the field of knowledge graph library construction, can solve problems such as affecting customer experience, having a great time impact, and taking a long time to troubleshoot and resolve faults, so as to reduce the influence of human factors, improve efficiency, Improve the user experience
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Embodiment 1
[0037] Embodiment 1: A method for constructing a knowledge map library for network fault diagnosis, see figure 1 with 2 shown, including the following process,
[0038] S1: Connect with enterprise OA system, problem management system, knowledge base, fault information management system, unified monitoring system, file sharing system, network management platform, big data platform, and online learning platform database to obtain structured, semi-structured information in various fields. Structured and unstructured data sources, the data sources include different network failure phenomena, their cause analysis and solutions and other related information; among them, structured data mainly refers to tables in relational databases, excel tables and other structured Data; semi-structured data mainly refers to data between structured data and unstructured data, common web pages such as XML and HTML are semi-structured data; unstructured data mainly refers to data such as plain text...
Embodiment 2
[0050] Embodiment 2: on the basis of embodiment 1, refer to figure 1 As shown, the present invention also includes S6 after step S5: apply the constructed knowledge graph database to the actual work scene, adjust the knowledge graph database according to the user's feedback, if there are other concurrency phenomena or reasons, update the relevant information to In the knowledge graph database; at the same time, the data is regularly updated from the docking system and updated to all parts of the knowledge graph database to further optimize and improve the knowledge graph database.
[0051] In the embodiment of the present invention, on the one hand, according to the user’s feedback in different application scenarios, the deficiencies of the knowledge graph library are corrected after the network failure is resolved; on the other hand, the data is regularly updated from the docking system to optimize and improve the knowledge graph library to further enhance the user experience...
Embodiment 3
[0052] Embodiment 3: According to the application of the knowledge map library constructed according to the method of Example 1 in the analysis of the root cause of network faults, the technical staff searches through keywords (natural language), and the knowledge map library searches for the triggered The possible causes of network faults are automatically matched, and the probabilities of the faults caused by these reasons are sorted to provide users with suggestions on fault solutions, which is conducive to the rapid location and resolution of network faults, improves the efficiency of fault handling, and reduces The influence of human factors. The detailed process is as follows:
[0053] S1: On the basis of the knowledge graph database constructed in the foregoing embodiment 1, the system provides users with a graph database query and retrieval interface.
[0054] S2: The user enters network fault keywords (such as fault phenomenon description, fault code, key log lines, ...
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