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A data processing method and device for a knowledge map

A technology of knowledge graph and data processing, applied in other database retrieval, other database index, other database query, etc., can solve the problems of high manpower investment, low efficiency, incomplete information review, etc., and achieve the goal of avoiding disconnection and convenient display Effect

Active Publication Date: 2021-06-04
杭州振牛信息科技有限公司
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0004] In order to solve the problems in the prior art, the traditional anti-fraud means mainly rely on the manual review of information, the manpower input is high, the efficiency is low, the information review is not comprehensive, and it is not easy to expand the relationship. Data from different sources, such as The mobile phone number, ID number, WeChat ID, QQ number, mailbox, home address, work unit, common IP address and other commonly used credit data of the inquired person are integrated together, and the complex relationship network is intuitively represented in the form of a knowledge graph Come out, so that we can see the ins and outs of the hidden information at a glance, so that it is easier to detect gang fraud, and we can find multiple contact methods of customers to avoid losing contact

Method used

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Experimental program
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Embodiment 1

[0037] Embodiment 1 of the present invention provides a data processing method of a knowledge map, figure 1 It is a schematic flow chart of the data processing method of the knowledge map provided by Embodiment 1 of the present invention. Such as figure 1 As shown, the method of this embodiment may include:

[0038] Step 101, receiving a query request sent by a query terminal, the query request includes query nodes, query expansion edges and query rules;

[0039] Step 102, according to the received query request, perform data query in the pre-generated knowledge graph database to obtain query results;

[0040] Step 103, sending the query result to the query terminal.

[0041] The method in this embodiment can be applied to anti-fraud of Internet financial services, and can also be extended to other similar scenarios that require querying complex relational networks.

[0042] The data processing method of this embodiment is explained below through a simple example.

[0043...

Embodiment 2

[0047] Embodiment 2 of the present invention provides a data processing method of a knowledge map, figure 2 It is a schematic flow chart of the data processing method of the knowledge map provided by Embodiment 2 of the present invention. Such as figure 2 As shown, the method of this embodiment may include:

[0048] Step 201, receiving a query request sent by a query terminal, wherein the query request includes query nodes, query expansion edges, and query rules, and the query rules include sorting rules and the number of query result output items;

[0049] Step 202, search the corresponding node of the query node in the knowledge graph database, if no corresponding node is found, store the attribute of the query request corresponding to the query node as a new node in the knowledge graph database, otherwise execute the step 203;

[0050] Step 203, using the corresponding node found in step 202 as the initial node, combined with the query expansion edge to search for adja...

Embodiment 3

[0062] Embodiment 3 of the present invention provides a data processing method of a knowledge map. This embodiment provides a query method for aggregation query of knowledge graphs based on the technical solution provided in the second embodiment. Such as image 3 As shown, this embodiment provides a data processing method for knowledge graphs, where the principles of step 301, step 302, and step 303 are similar to those of embodiment 2, and will not be repeated here. In this embodiment, the aggregation Inquiry method, the steps may include:

[0063] Step 304, using the corresponding node found in step 303 as the initial node, combining the query expansion edge to search for adjacent nodes associated with the initial node, using the found adjacent node as the initial node, performing an extended query again, and finding the query result;

[0064] Step 305, filter the searched adjacent nodes according to the query rules, and obtain the adjacent nodes satisfying the query rule...

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Abstract

An embodiment of the present invention provides a data processing method for a knowledge graph, wherein the method includes: receiving a query request sent by a query terminal, the query request includes query nodes, query expansion edges, and query rules; according to the received query request , execute data query in the pre-generated knowledge graph database to obtain the query result; send the query result to the query terminal. The data processing method and device of a knowledge map of the present invention intuitively represent the complex relationship network in the form of a knowledge map, so that we can see the ins and outs of the hidden information at a glance, so that it is easier to find gang fraud and find out that many customers A contact method to avoid losing contact.

Description

technical field [0001] The disclosure of the present invention relates to the field of Internet technologies, and in particular to a data processing method and device for a knowledge map. Background technique [0002] With the development of Internet finance, especially the rise of P2P, the traditional bank loan model has been subverted, and the level of risk control on the borrower side can be said to determine the core competitiveness of a P2P company. One of the main sources of risk on the borrower side is fraud risk. Traditional anti-fraud methods mainly rely on manual review of information, while the cost of forging ID cards, mobile phone numbers, bank records and other materials is very low, and various credit service agencies have to invest A large amount of manpower is used to verify the identity of the information subject and the authenticity of the materials provided. [0003] The knowledge graph is a graph-based data structure that describes entities, knowledge, ...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06F16/901G06F16/903
Inventor 杨志勇邓子明谷冰川卢晨曦谢剑赵盛璐
Owner 杭州振牛信息科技有限公司
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