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Social relationship analysis method, device and apparatus based on knowledge graph

A social relationship and knowledge graph technology, applied in special data processing applications, instruments, and other database retrieval, can solve problems such as the inability to analyze social relationships, achieve the effect of integrating retrieval capabilities and analysis capabilities, and improving convenience

Inactive Publication Date: 2019-10-29
广州汇智通信技术有限公司
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  • Application Information

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Problems solved by technology

[0005] The purpose of this application is to provide a social relationship analysis method, device, device, and computer-readable storage medium based on knowledge graphs, so as to solve the problem that traditional social relationship analysis solutions only realize the retrieval function of entities and relationships in knowledge graphs. The problem that the function of analyzing social relations cannot be realized

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  • Social relationship analysis method, device and apparatus based on knowledge graph
  • Social relationship analysis method, device and apparatus based on knowledge graph
  • Social relationship analysis method, device and apparatus based on knowledge graph

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Embodiment 1

[0054] The following is an introduction to Embodiment 1 of a social relationship analysis method based on knowledge graph provided by this application, see figure 1 , embodiment one includes:

[0055] Step S101: Obtain an analysis request for a target object;

[0056] Before performing social relationship analysis, it is first necessary to determine the object of analysis, that is, the above-mentioned target object. In this embodiment, the target object mainly refers to the entity in the knowledge graph social network. As a specific implementation, this embodiment organizes the analysis process in the form of tasks. When a user requests to perform data analysis, he must first enter an already created analysis task, and then trigger the execution process of the analysis task.

[0057] This embodiment provides a variety of ways to add target objects in the analysis task. For example, the user can directly input the target object data on the interface. After the target object is...

Embodiment 2

[0065] see image 3 , embodiment two specifically includes:

[0066] Step S201: Obtain an analysis request for the target object;

[0067] Step S202: Based on the pre-built social relationship knowledge graph, generate the social relationship network of the target object according to the analysis request and spatio-temporal filtering conditions;

[0068] Step S203: Analyzing the social relationship network to obtain a social relationship analysis result of the target object.

[0069] In social data analysis work, the temporal and spatial attributes of data are often of great concern to users. Compared with the first embodiment, this embodiment not only considers the analysis request but also considers the spatio-temporal filtering conditions when generating the social relationship network. Among them, time and space refer to time and space, involving the extension and continuity of objects, movements and interactions. Everything is in a certain time and space. Introducing t...

Embodiment 5

[0101] The following is an introduction to the construction process and enrichment process of the social relationship knowledge graph based on the above knowledge graph system, such as Figure 9 Shown, embodiment five comprises:

[0102] Step S501: data import;

[0103] Data import mainly refers to the process of importing original social data into the system.

[0104] Step S502: data regularization;

[0105] Data regularization mainly refers to the process of extracting social information from social data and organizing social information into a form of knowledge graph.

[0106] Step S503: data expansion;

[0107] After the basic data is available, this embodiment provides multiple ways to assist users to find more data, namely data expansion, intra-relational analysis, and full-text search. Among them, data expansion means that the user can specify several entities and filter conditions. Search the data in the data source that is related to these entities and meets the f...

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Abstract

The invention discloses a social relation analysis method based on a knowledge graph. After an analysis request for a target object is obtained, a social relation network of the target object can be generated according to the analysis request based on a pre-constructed social relation knowledge graph, and then the social relation network is analyzed to obtain a social relation analysis result of the target object. The method not only can construct the social relation network of the target object based on the social relation knowledge graph, but also can analyze the social relation network to obtain the social relation analysis result, the purpose of integrating the retrieval capability and the analysis capability is achieved, and the convenience of the social relation analysis process is improved. In addition, the invention further provides a social relation analysis device and apparatus based on the knowledge graph and a computer readable storage medium, and the effect of the social relation analysis device and equipment corresponds to that of the method.

Description

technical field [0001] The present application relates to the field of social analysis, in particular to a method, device, equipment and computer-readable storage medium for analyzing social relationships based on knowledge graphs. Background technique [0002] Social network analysis is based on multidisciplinary theories and methods of informatics, mathematics, sociology, management, psychology, etc. Analytical method. [0003] Social relationship analysis is generally implemented based on social networks. Social networks refer to the network system formed by social relationships among individual members of society. Social networks generally exist in the form of knowledge graphs, which describe various entities that exist in the real world. A huge semantic network graph of concepts and their relationships. For social network knowledge graphs, nodes represent entities such as people and concepts, and edges represent attributes or relationships. [0004] One of the importa...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06F16/901G06F16/903G06Q50/00
CPCG06F16/9024G06F16/90335G06Q50/01
Inventor 赖伟
Owner 广州汇智通信技术有限公司