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Knowledge graph construction method and device, knowledge graph detection method and device, equipment and storage medium

A knowledge map and construction method technology, applied in the field of data mining, can solve problems such as difficulty in playing an effective role, single content, and difficulty in reflecting node relevance, and achieve the effect of avoiding key evidence chain breaks, evidence chain integrity, and information loss

Pending Publication Date: 2020-03-31
BEIJING BAIDU NETCOM SCI & TECH CO LTD
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0004] The content expressed by the existing knowledge graph is relatively simple, and it is difficult to reflect the deep correlation between nodes and edges, which makes it difficult for the knowledge graph to play an effective role when applied to business scenarios such as anomaly detection.

Method used

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  • Knowledge graph construction method and device, knowledge graph detection method and device, equipment and storage medium
  • Knowledge graph construction method and device, knowledge graph detection method and device, equipment and storage medium
  • Knowledge graph construction method and device, knowledge graph detection method and device, equipment and storage medium

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Experimental program
Comparison scheme
Effect test

Embodiment 1

[0080] Figure 1a It is a flow chart of a method for constructing a knowledge map in Embodiment 1 of the present application. This embodiment of the present application is applicable to the case of constructing a connected knowledge map based on various types of information. The method is executed by a knowledge map construction device. The device is implemented by software and / or hardware, and is specifically configured in electronic equipment with certain data computing capabilities.

[0081] Such as Figure 1a A method for constructing a knowledge graph is shown, including:

[0082] S101. Obtain various types of multiple subgraphs used to construct the knowledge graph, and information of nodes and attribute information of edges in the multiple subgraphs.

[0083] S102. Merge the same nodes in multiple sub-graphs according to the information of the nodes to obtain a primary knowledge graph.

[0084] The same node can appear in different types of subgraphs. For example, if ...

Embodiment 2

[0098] Figure 2a It is a flow chart of a method for constructing a knowledge map in Embodiment 2 of the present application. The embodiment of the present application is optimized and improved on the basis of the technical solutions of the above-mentioned embodiments.

[0099]Further, after executing "according to the attribute information of the edges, merge the edges connected to the same node in the primary knowledge graph and satisfy the preset association conditions to obtain the knowledge graph", add "judging whether there is an isolated subgraph in the knowledge graph; If it exists, find the nodes with associated relationship between isolated subgraphs, and connect the nodes with associated relationship through virtual nodes”; further, the operation of “find nodes with associated relationship between isolated subgraphs” , which is refined as "obtain the time attribute information and / or spatial attribute information of each node in each isolated subgraph; according to ...

Embodiment 3

[0119] image 3 It is a flow chart of a method for constructing a knowledge map in Embodiment 3 of the present application. The embodiment of the present application is optimized and improved on the basis of the technical solutions of the above-mentioned embodiments.

[0120] Further, the operation "obtaining multiple types of subgraphs used to construct knowledge graphs" is refined into "obtaining multiple types of entity information and direct relationships between entities; abstracting each type of entity information into nodes, The direct relationship between entities is abstracted into edges, and corresponding types of subgraphs are constructed; nodes with associated relationships in corresponding types of subgraphs are merged or connected” to realize the fusion and connection of internal nodes and relationships in subgraphs.

[0121] Such as image 3 A method for constructing a knowledge graph is shown, including:

[0122] S301. Obtain multiple types of entity informat...

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PUM

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Abstract

The invention discloses a knowledge graph construction method and device, a knowledge graph detection method and device, equipment and a storage medium, and relates to the technical field of data mining. According to the specific implementation scheme, the method comprises: acquiring multiple types of sub-graphs used for constructing the knowledge graph, information of nodes in the sub-graphs andattribute information of edges in the sub-graphs; merging the same nodes in the plurality of sub-graphs according to the information of the nodes to obtain a primary knowledge graph; and according tothe attribute information of the edges, combining the edges which are connected with the same node in the primary knowledge graph and meet a preset association condition to obtain a knowledge graph. According to the embodiment of the invention, the same nodes and the edges meeting the preset association conditions are combined for the multiple types of sub-graphs, so that the cross-type information is fully fused, the deep information is effectively mined, the information loss is avoided, and the knowledge graph can play an effective role when being applied to service scenes such as anomaly detection and the like.

Description

technical field [0001] The present application relates to data processing technology, in particular to the field of data mining technology. Background technique [0002] Knowledge Graph, known as knowledge domain visualization or knowledge domain mapping map in the library and information industry, is a series of different graphics showing the knowledge development process and structural relationship, using visualization technology to describe knowledge resources and their carriers, mining , analyze, construct, map and display knowledge and their interconnections. [0003] Taking the social relationship knowledge graph as an example, the nodes in the graph represent people, and the edges between nodes represent the relationship between people; taking the financial knowledge graph as an example, the nodes in the graph represent accounts, and the edges between nodes represent accounts The transfer relationship with the account. [0004] The content expressed by the existing ...

Claims

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Application Information

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IPC IPC(8): G06F16/26G06F16/28
CPCG06F16/26G06F16/288
Inventor 杨双全季昆鹏
Owner BEIJING BAIDU NETCOM SCI & TECH CO LTD