Data content associating method and apparatus

Abstract

The present invention provides a data content associating method and apparatus. The method comprises: presetting a plurality of labels; obtaining to-be-associated data content; carrying out word segmentation processing on the data content, and generating to-be-matched word segmentation of each data content; matching each to-be-matched word segmentation of each data content with each label, and determining a matching label matched with each to-be-matched word segmentation of each data content; taking the determined matching label corresponding to each data content as a label of each data content; and according to the label of each data content, associating the to-be-associated data content. The data content associating method and apparatus provided by the present invention can establish an association relationship among data content more conveniently.

Description

technical field [0001] The invention relates to the field of computer technology, in particular to a method and device for associating data content. Background technique [0002] With the rapid development of science and technology, a large amount of data is generated every moment. Due to reasons such as the different systems where the data resides, many data barriers have been formed, and these data cannot be correlated with each other, hindering the effective use of these data. Taking enterprises and public institutions as an example, for the information resources in enterprises and public institutions, due to the different businesses they belong to, the management systems adopted are also different, which leads to the problem of scattered information resources, which is not conducive to the integration and analysis of data; At the same time, different management systems require different business personnel to manage and maintain. In the process of resource sharing, it wil...

AI Technical Summary

Problems solved by technology

[0002] With the rapid development of science and technology, a large amount of data is generated every moment. Due to reasons such as the different systems where the data resides, many data barriers have been formed, and these data cannot be correlated with each other, hindering the effective use of these data.

Taking enterprises and public institutions as an example, for the information resources in enterprises and public institutions, due to the different businesses they belong to, the management systems adopted are also different, which leads to the problem of scattered information resources, which is not conducive to the integration and analysis of data; At the same time, different management systems require different business personnel to manage and maintain. In the process of resource sharing, it will be difficult for non-business personnel to query and understand the situation of other business resources, which also increases the difficulty of data integration and analysis. In addition, different The technologies and specifications adopted by the management system are not the same. It is difficult to call each other between data and materials, and the maintenance is also extremely inconvenient, which seriously hinders the informationization process of enterprises and institutions.

[0003] It can be seen from the above description that it is troublesome to establish the association relationship between data content

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