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Knowledge management method based on label correlation

A technology of knowledge management and labeling, which is applied in the field of knowledge management based on label association, can solve the problems of large manpower requirements, cumbersome steps, and high maintenance costs, and achieve the effect of saving labor costs and maintenance costs

Inactive Publication Date: 2017-01-25
CHENGDU CALABAR INFORMATION TECH
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

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Problems solved by technology

[0003] The purpose of the present invention is to provide a knowledge management method based on label association, which solves the problems of cumbersome steps, huge manpower

Method used

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Examples

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Example Embodiment

[0021] Example

[0022] A knowledge management method based on label association, including the following steps: Step 1: Scan all data, input initial parameters, establish an initialized CF tree, retain the inherent clustering structure of the data, divide dense data into clusters, and use sparse data as Treat outliers; step 2, use clustering algorithm to delete outliers, and merge dense clusters into larger clusters; step 3, use global or semi-local clustering algorithm to analyze the leaves in all clusters obtained in step 2 The nodes are clustered; Step 4: Use the center point of Step 3 as the seed, reassign the data points to the nearest seed, ensure that the duplicate data are divided into unified clusters, and add the cluster label at the same time; Step 5, input the cluster label, You can call to query related data.

[0023] Further, in step 3, the size of the CF tree can be changed by changing the input range of the global or semi-local clustering algorithm. Because ...

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Abstract

The invention discloses a knowledge management method based on label correlation. The method includes the steps of scanning all data, generating an initiated CF tree, conducting combination to form a bigger cluster according to the data classification and by means of a clustering algorithm, clustering leaf nodes in the obtained cluster by means of the clustering algorithm, ensuring that repeated data is distributed into unified clusters with the central point of the CF tree as the seed, adding cluster labels and the like. The method has the advantages that knowledge storage in an enterprise system can be automatically classified, the labels are added, and the file management and inquiry calling in the enterprise system are convenient; meanwhile, due to the method, the labels can be automatically generated, new data is supported to be added, and labor cost and maintenance cost in an enterprise for knowledge management are greatly saved.

Description

technical field [0001] The invention relates to a knowledge management method, in particular to a tag association-based knowledge management method. Background technique [0002] With the development of modern technology, the information faced and obtained by various companies is increasing at an unprecedented rate, and people often need to spend a lot of time looking for the information or resources they need in the company's system. In order to solve this problem, various companies began to adopt label management, and maintain the relationship between documents and procedures in the company system through label management. However, in the past, companies often used manual classification methods, that is, dedicated personnel were responsible for labeling and dividing each file. However, manual methods are extremely difficult to implement. The problem is that, firstly, the person in charge needs to spend a lot of time to understand the purpose of each document in order to ...

Claims

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Application Information

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IPC IPC(8): G06F17/30
CPCG06F16/35
Inventor 朱焰冰
Owner CHENGDU CALABAR INFORMATION TECH
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