Change influence evaluation method and device based on knowledge graph
A knowledge map and entity technology, applied in the field of big data, can solve the problems that the quality of manual experience carding cannot be strictly guaranteed, reduce the reliability of change impact assessment, and achieve the effect of avoiding wrong assessment and improving reliability
Pending Publication Date: 2021-12-14
CHINA CONSTRUCTION BANK
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Problems solved by technology
However, manual operation and maintenance experience varies from person to person. Due to the different operation and maintenance knowledge reserves and different operation and maintenance experience of operation and maintenance personnel, the quality of change impacts sorted out by manual experience cannot be strictly guaranteed, thereby reducing the reliability of change impact assessment
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[0051]The following will clearly and completely describe the technical solutions in the embodiments of the application with reference to the drawings in the embodiments of the application. Apparently, the described embodiments are only some of the embodiments of the application, not all of them. Based on the embodiments in this application, all other embodiments obtained by persons of ordinary skill in the art without making creative efforts belong to the scope of protection of this application.
[0052] Such as figure 1 As shown in , it is a schematic diagram of a knowledge graph-based change impact assessment method provided by the embodiment of this application, including the following steps:
[0053] S101: Obtain in advance expert experience information in various operation and maintenance fields, and abstract the expert experience information to obtain each class, each class' attribute, and the association relationship between each class.
[0054] Among them, the types o...
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The invention discloses a change influence evaluation method and device based on a knowledge graph. The method comprises the steps: carrying out the analysis of a change instruction under the condition of receiving the change instruction sent by a user, and obtaining a change main body; and selecting the knowledge graph of which the operation and maintenance field is the same as the operation and maintenance field involved by the change subject from the graph database as a target knowledge graph. And searching an entity with the name the same as the name of the change subject from the target knowledge graph. And searching other entities having the semantic association relationship with the entity from the target knowledge graph. Counting the number of other entities to obtain a target value, and judging whether the target value is greater than a preset threshold value or not; and if the target value is greater than the preset threshold value, prompting a user that the influence of the change is not in a controllable range. According to the method, the knowledge graph is used for assisting the user in evaluating the influence brought by the change, wrong evaluation caused by insufficient user experience is avoided, in addition, the knowledge graph is used as an evaluation basis, the method is scientific and objective, and the reliability of change influence evaluation is improved.
Description
technical field [0001] This application relates to the field of big data, in particular to a method and device for assessing the impact of changes based on knowledge graphs. Background technique [0002] Ensuring the safe and stable operation of the system is the top priority of the data center operation and maintenance work. With the rapid development of business, the relationship between application systems and the system architecture are becoming more and more complex. Changes in application systems (especially the production environment of the data center The relevant changes involved include but are not limited to: hardware, network, environment and other infrastructure of the equipment in the data center, operating system, middleware, database and other basic software and applications, scripts and other related status, configuration, version changes, etc.) Upgrades are becoming more and more frequent, and the risks brought about by changes are becoming more hidden, div...
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IPC IPC(8): G06F40/30G06F16/36G06F11/34
CPCG06F16/367G06F40/30G06F11/3495
Inventor 王君杨晓勤李世宁张明
Owner CHINA CONSTRUCTION BANK