System and method for knowledge base content sharing and learning based on distributed network environment

A distributed network and knowledge base technology, which is applied in branch offices to provide special service devices, multimedia data retrieval, multimedia data browsing/visualization, etc., can solve problems such as inconsistencies in plain text knowledge bases, and achieve the effect of improving the hit rate

Active Publication Date: 2021-09-24
TRAFFIC MANAGEMENT RES INST OF THE MIN OF PUBLIC SECURITY
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  • Application Information

AI Technical Summary

Problems solved by technology

[0003] With the rapid development of the information age, the traditional single-deployed plain text knowledge base has gradually failed to meet the actual needs. For this reason, the knowledge base based on distributed network deployment is a good solution. However, how to combine text, pictures, and audio , Video knowledge base content, efficient and secure transmission between distributed nodes is a technical difficulty

Method used

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  • System and method for knowledge base content sharing and learning based on distributed network environment
  • System and method for knowledge base content sharing and learning based on distributed network environment

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Embodiment Construction

[0032] See figure 1 : The system of knowledge base content sharing learning based on the distributed network environment of the present invention includes a central node 1 and a sub-node 2 connected by communication,

[0033] Central node 1 includes communication links for:

[0034] The message queue server 3 is used for uploading and distributing knowledge;

[0035] Knowledge base management system 4, used for knowledge entry and review;

[0036] Search engine server 5, used for knowledge retrieval;

[0037] The machine learning server 6 is used to correct the sorting of knowledge retrieval and improve the hit rate of knowledge retrieval in the knowledge base;

[0038] The sub-node 2 includes a knowledge base management system 4, a search engine server 5, and a machine learning server 6 connected by communication, and at least two search engine servers 5 are provided in the central node 1 and the sub-node 2 respectively.

[0039] The method for sharing and learning knowle...

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Abstract

The invention provides a system and method for knowledge base content sharing and learning based on a distributed network environment, realizes efficient and safe transmission of knowledge in the knowledge base between distributed nodes, and improves knowledge in the knowledge base through the use of machine learning algorithms. The hit rate of retrieval includes central nodes and sub-nodes connected by communication, and the central nodes include: message queue server for uploading and distributing knowledge; knowledge base management system for inputting and reviewing knowledge; search engine server for For knowledge retrieval; machine learning server, used to modify the sorting of knowledge retrieval, sub-nodes include knowledge base management system connected by communication, search engine server, machine learning server, knowledge in the knowledge base provides rich text editing and uploading; knowledge base Vertical two-way sharing and horizontal management of knowledge in the database; establishment of a search training mechanism through machine learning algorithms to correct the ordering of knowledge retrieval.

Description

technical field [0001] The invention relates to knowledge base content sharing and learning, in particular to a system and method for knowledge base content sharing learning based on a distributed network environment. Background technique [0002] Distributed network deployment is characterized by connecting machines in different physical environments to form a large local area network through network connections. The generation of distributed networks is of great significance. Distributed networks are distributed in different locations and have multiple terminals In the distributed network, each network is controlled independently, and the central control center only needs to perform overall scheduling. In the distributed system, the concept of centralized control is not emphasized, and there is a distributed system based on the global control center. Layer control structure, but each distributed network has a high degree of autonomy. The distributed network greatly reduces...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06F16/41G06F16/44H04L12/18
CPCG06F16/41G06F16/44H04L12/18
Inventor 刘明江海龙顾云龙王立忠
Owner TRAFFIC MANAGEMENT RES INST OF THE MIN OF PUBLIC SECURITY
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