Knowledge-driven business operation graph construction method

A business operation, knowledge-driven technology, applied in the field of knowledge-driven business operation graph construction, which can solve the problems of redundant search space, not being able to be discovered earlier, and not considering the matching order of vertices and edges in the query graph.

Active Publication Date: 2021-03-16
NO 15 INST OF CHINA ELECTRONICS TECH GRP
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AI Technical Summary

Problems solved by technology

[0004] (1) Many existing algorithms do not consider the matching order of the vertices and edges of the query graph, and simply match according to the array labels of the vertic

Method used

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Embodiment Construction

[0045] The technical solution of the present invention will be further described below in conjunction with the following examples.

[0046] A knowledge-driven business operation map construction method is a business operation map network construction method driven by network-wide domain knowledge, including knowledge generation based on multi-source heterogeneous business data and domain knowledge map construction, and a network-wide network based on the evolution of operation models There are two parts to the domain operation graph network construction;

[0047]The network construction of the whole network domain operation graph based on the evolution of the operation mode includes the construction of the operation graph network of the whole network domain based on the evolution of the operation mode, and the automatic expansion of the operation graph based on the business operation discovery.

[0048] 1. Knowledge generation and domain knowledge map construction based on mul...

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Abstract

The invention provides a knowledge-driven business operation graph construction method. The knowledge-driven business operation graph construction method comprises two parts of knowledge generation and domain knowledge graph construction based on multi-source heterogeneous business data and whole-network domain operation graph network construction based on operation mode evolution. Knowledge generation and domain knowledge graph construction based on multi-source heterogeneous business data comprise knowledge extraction and association processing based on multi-mode full-link multi-dimensionalbusiness data, collaborative modeling and graph generation based on multi-source extraction knowledge and knowledge graph expansion based on business domain knowledge autonomous discovery. Accordingto the method, the construction problem of the business operation atlas is converted into the problem of searching related operation knowledge atlas contents from the business data knowledge atlas according to the business operation process and the required data, so that the subgraph query problem of related operation businesses is searched from the huge public business data knowledge atlas.

Description

technical field [0001] The invention belongs to the technical field of knowledge extraction and related technology and business fusion, and in particular relates to a knowledge-driven business operation map construction method. Background technique [0002] The development of artificial intelligence has gone through the stage from machine intelligence to perceptual intelligence, and is moving towards the stage of cognitive intelligence. But to achieve cognitive intelligence, machines must learn to deal with the complex language of humans and learn to reason about knowledge. This is a major problem encountered by artificial intelligence. At present, the combination of machine deep learning and knowledge map reasoning can well solve the semantic gap of human natural language. [0003] Knowledge graph is a very large-scale semantic network system, its main purpose is to describe the relationship between entities or concepts in the real world. Through the collection of a large...

Claims

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Application Information

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IPC IPC(8): G06F16/36G06F16/33G06F16/35G06F40/295G06F40/30G06K9/62G06N3/04G06N3/08
CPCG06F16/367G06F16/3344G06F16/35G06F40/295G06F40/30G06N3/049G06N3/08G06N3/047G06N3/045G06F18/23G06F18/241G06F18/2415
Inventor 暴利花杨理想王银瑞苏洪全刘海龙吕宁黄宁宁冯小猛周祥军宋丽娜
Owner NO 15 INST OF CHINA ELECTRONICS TECH GRP
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