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Entity association mining method based on dynamic probe

An entity and probe technology, applied in the field of data management, can solve problems such as the lag of entity association matching results, and achieve the effect of saving manual matching time and improving work efficiency.

Active Publication Date: 2021-06-15
QINGDAO UNIV OF SCI & TECH
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0004] In addition, with the continuous development of enterprise business, there is also a lag in the entity association matching results, which need to be adjusted continuously according to the specific situation

Method used

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  • Entity association mining method based on dynamic probe
  • Entity association mining method based on dynamic probe
  • Entity association mining method based on dynamic probe

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Embodiment Construction

[0025] Specific embodiments of the present invention will be described in detail below in conjunction with the accompanying drawings.

[0026] Such as figure 1 As shown, the entity association mining method in this embodiment mainly includes processing processes such as data interception, attribute information analysis, attribute value analysis, log analysis, and similarity discrimination based on fuzzy logic. Among them, through the configuration of dynamic pointers, the request information and corresponding response data of the application system to the database are listened to at any time, and then the formatted data of an entity is formed and stored in the relational database; then, the entity data newly stored in the relational database Perform feature fusion with the existing entity data in the relational database, analyze the similarity of the two comparison entities in the three dimensions of attribute information, attribute value, and log access, and then use the fuzz...

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Abstract

The invention discloses an entity association mining method based on a dynamic probe. The method comprises the steps of configuring the probe to monitor interaction data of an application system to a database; processing the monitored data to form formatted data of an entity, and storing the formatted data into a relational database; carrying out feature fusion on the entities and existing entities in a relational database, and respectively calculating the similarity of attribute information, the similarity of attribute values and the similarity of logs of two comparison entities; and obtaining the similarity degree of two comparison entities by using a fuzzy logic reasoning method according to the attribute information similarity, the attribute value similarity and the log similarity obtained by calculation so as to realize association matching between the entities. According to the invention, the entity association mining method based on the dynamic probe is adopted, related data stored in enterprise businesses and a database are obtained, the similarity between different entities is measured through multi-dimensional features, the optimal matching result between the entities is given out through the fuzzy logic reasoning method, and therefore the manual matching time can be saved.

Description

technical field [0001] The invention belongs to the technical field of data management, and in particular relates to a mining method for realizing the correlation between entities in a heterogeneous information system. Background technique [0002] With the development of enterprise business development and informatization construction, massive amounts of data have accumulated in the databases of various business systems, and these data usually have the characteristics of multi-source, heterogeneous, and autonomous. Using appropriate data fusion technology to integrate the fragmented data scattered in multiple systems into a comprehensive and accurate enterprise data space will help break the information islands between the various systems, and provide a way for in-depth mining of data associations and construction of knowledge graphs , Provide effective support for comprehensive and efficient data sharing. [0003] Entity association across systems is an important part of ...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06F16/2458G06F16/28G06F40/242G06F40/253G06F40/30G06K9/62
CPCG06F16/2465G06F16/285G06F16/288G06F40/30G06F40/242G06F40/253G06F18/22
Inventor 陶冶郭帅童丁香乾侯瑞春李辉史操
Owner QINGDAO UNIV OF SCI & TECH