Knowledge graph construction method, device and system and computer storage medium

Abstract

The invention discloses a knowledge graph construction method, device and system and a computer storage medium, and belongs to the technical field of networks. The first equipment obtains first configuration information of the target network equipment; the first equipment acquires a template matching file corresponding to the target network equipment, wherein the template matching file is used for describing formats of one or more command lines in configuration information of one type of network equipment to which the target network equipment belongs; then the first equipment creates a target network entity corresponding to a first command line according to the template matching file and the first command line in the first configuration information, where the type of the target network entity is equipment, an interface, a protocol or a service. The target network entity is used for constructing a knowledge graph of a network where the target network equipment is located. According to the invention, the knowledge graph of the network where the network equipment is located is constructed based on the configuration information of the network equipment.

Description

technical field [0001] The present application relates to the field of network technology, and in particular to a method, device and system for constructing a knowledge map, and a computer storage medium. Background technique [0002] The current network usually contains multiple devices, the causes of network faults are complex, and the efficiency of manually summarizing fault judgment rules is low. By constructing a knowledge map of the network, reflecting the configuration association between devices on the knowledge map, attaching fault alarms to the knowledge map and performing root cause traceability analysis, the efficiency and accuracy of fault location can be improved. [0003] At present, when constructing a knowledge graph of unstructured text, entities in unstructured text are usually extracted based on domain word sets, and words in unstructured text other than domain words and non-domain common words are recognized as entities. For example, the domain word set...

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Problems solved by technology

[0004] However, when entities in the first configuration information of network devices are extracted based on the domain word set, there will be many entities with the same name, and it is impossible to judge whether these entities with the same name represent the same meaning, and thus it is impossible to determine the relationship between the entities. Therefore, it is currently impossible to construct a knowledge map based on the first configuration information of network devices

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