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Data processing method, device and equipment and storage medium

A data processing and quantitative technology, applied in the computer field, can solve the problems of reducing the efficiency of knowledge map alignment and the accuracy of alignment, the accuracy is difficult to guarantee, time-consuming and labor-intensive, etc.

Active Publication Date: 2020-12-29
TENCENT TECH (SHENZHEN) CO LTD
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  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

Among them, the entire labeling process is time-consuming and labor-intensive. At the same time, the accuracy of measurement is difficult to guarantee due to manual labeling.
Therefore, the existing knowledge map alignment technology reduces the alignment efficiency and alignment accuracy of the knowledge map

Method used

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  • Data processing method, device and equipment and storage medium
  • Data processing method, device and equipment and storage medium
  • Data processing method, device and equipment and storage medium

Examples

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Embodiment Construction

[0090]The technical solutions in the embodiments of the present application will be described clearly and completely in conjunction with the accompanying drawings in the embodiments of the present application. Obviously, the described embodiments are only a part of the embodiments of the present application, rather than all the embodiments. Based on the embodiments in this application, all other embodiments obtained by those of ordinary skill in the art without creative work fall within the protection scope of this application.

[0091]Seefigure 1 ,figure 1 It is a schematic structural diagram of a network architecture provided by an embodiment of the present application. Such asfigure 1 As shown, the network architecture may include a server 10 and a user terminal cluster. The user terminal cluster may include one or more user terminals, and the number of user terminals will not be limited here. Such asfigure 1 As shown, it may specifically include a user terminal 100a, a user termina...

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Abstract

The embodiment of the invention discloses a data processing method and device, equipment and a storage medium, and the method comprises the steps: obtaining a text vector corresponding to an atlas text in a first knowledge atlas, and obtaining a text vector corresponding to an atlas text in a second knowledge atlas; in the first knowledge graph and the second knowledge graph, determining the textvectors under the same graph text dimension as a same-dimension vector set, and performing clustering processing on the text vectors in the same-dimension vector set to obtain a to-be-aligned oligomerization cluster; selecting a target cross-map vector pair from the to-be-aligned clustering cluster, wherein the target cross-map vector pair comprises a text vector belonging to a first knowledge mapand a text vector belonging to a second knowledge map; and determining an alignment result between the first knowledge graph and the second knowledge graph for the graph text according to the targetcross-graph vector pair. By adopting the embodiment of the invention, the alignment efficiency and the alignment accuracy of the knowledge graph can be improved.

Description

Technical field[0001]This application relates to the field of computer technology, and in particular to a data processing method, device, equipment and storage medium.Background technique[0002]Knowledge graph is the necessary foundation of cognitive intelligence, and knowledge graph alignment technology is an important tool for rapid engineering of knowledge graph construction. It should be understood that the knowledge graph alignment technology can align multiple knowledge graphs from different sources, thereby effectively helping to fuse multiple knowledge graphs to form a complete knowledge graph with broader knowledge coverage. Because in the process of aligning multiple knowledge graphs, it is necessary to rely on professionals in the field to which the knowledge graph belongs to manually label the seed data in the knowledge graph, and then different knowledge graphs can be aligned based on the manually labeled seed data. Get the alignment result. For example, the two ontology...

Claims

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Application Information

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IPC IPC(8): G06F40/189G06F40/126G06F40/289G06F16/36G06F16/35G06K9/62
CPCG06F40/189G06F40/126G06F40/289G06F16/367G06F16/35G06F18/25
Inventor 张子恒陈曦向玥佳
Owner TENCENT TECH (SHENZHEN) CO LTD
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