Community mining method and system based on knowledge graph, computer and storage medium

A knowledge map and community mining technology, applied in the field of big data, can solve the problems of reducing the quality of community mining and lack of similar attributes among friends, so as to achieve the effect of direct connection and quality improvement

Pending Publication Date: 2021-03-09
SANMENG TECH CO LTD
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  • Abstract
  • Description
  • Claims
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AI Technical Summary

Problems solved by technology

There are many domestic studies on community mining based on knowledge graphs. Most studies only consider the use of link relationship information for community mining based on knowledge graphs. Friends links randomly established in social networks often become "noise data". Lack of similar attributes reduces the quality of knowledge graph based community mining

Method used

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  • Community mining method and system based on knowledge graph, computer and storage medium
  • Community mining method and system based on knowledge graph, computer and storage medium
  • Community mining method and system based on knowledge graph, computer and storage medium

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Embodiment Construction

[0037] In order to make the object, technical solution and advantages of the present invention clearer, the present invention will be further described in detail below in conjunction with the accompanying drawings. It is only stated here that the words for directions such as up, down, left, right, front, back, inside, and outside that appear or will appear in the text of the present invention are only based on the accompanying drawings of the present invention, and are not specific to the present invention. limited.

[0038] Such as figure 1 As shown, the present invention provides a community mining method based on knowledge graph, including:

[0039] S101, obtaining scholar nodes and document co-authoring network data in the WOS academic knowledge map, wherein the scholar nodes include wos identification number, full name, gender and research field;

[0040] S102, calculating the semantic similarity of the research field of the scholar node;

[0041]S103. According to the...

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Abstract

The invention discloses a community mining method based on a knowledge graph, and the method comprises the steps of obtaining scholarship nodes in a WOS academic knowledge graph and literature coexisting network data, and enabling the scholarship nodes to comprise a wos identification number, a full name, a gender and a research field; calculating the research field semantic similarity of the scholarship nodes; and according to the semantic similarity of the research field, using a Louvain algorithm to complete knowledge graph-based community mining of the scholarship themes in the literatureco-source network. The invention further discloses a community mining system based on the knowledge graph, a computer and a storage medium. By adopting the invention, aiming at the WOS academic knowledge graph, the link information among the scholarship nodes in the literature coexisting network and the semantic similarity of the research field are comprehensively considered, so that the direct close contact and high attribute similarity of community members are effectively ensured, and the quality of community mining based on the knowledge graph is improved.

Description

technical field [0001] The present invention relates to the field of big data, in particular to a community mining method, system, computer and storage medium based on knowledge graphs. Background technique [0002] The development of smart education is inseparable from the internal driving force of the core technology of artificial intelligence, and knowledge graph, as one of the most cutting-edge technologies of artificial intelligence, provides a better organization, management and understanding of semantic information in the Internet. The form is gradually favored by more and more researchers. [0003] The traditional method based on modularity function optimization only considers the link information of nodes in the network. Therefore, in community mining based on knowledge graphs, it often occurs that the nodes between communities are closely linked, but the attributes of the nodes are quite inconsistent. There are many domestic studies on community mining based on kn...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06F16/36G06F40/30
CPCG06F16/367G06F40/30
Inventor 汪凡麦嘉丽柯钺美罗龙韩高强
Owner SANMENG TECH CO LTD
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