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Professional data entity attribute extraction method based on attribute labeling

A technology of entity attributes and professional data, which is applied in the direction of electronic digital data processing, digital data information retrieval, special data processing applications, etc., can solve the problems of inability to extract data, long time-consuming, large-scale data, etc., to save time, The effect of simplified extraction method and flexible configuration

Inactive Publication Date: 2019-12-03
厦门美域中央信息科技有限公司
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Problems solved by technology

[0002] Intelligent management and effective analysis of big data has become an urgent need. Quantitative modeling and correlation analysis of big data, and research on effective analysis and mining methods are the key to effective analysis of big data and the basis for improving the scientific level; The scale of data is large, and the existing data entity extraction methods cannot extract data based on attribute annotations, and it is difficult to quickly extract the required data from it. The extraction process takes a long time and the extraction efficiency is low.

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  • Professional data entity attribute extraction method based on attribute labeling

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Embodiment Construction

[0029] In order to make the objectives, technical solutions, and advantages of the present invention clearer, the present invention will be further described in detail below in conjunction with specific embodiments and with reference to the accompanying drawings. It should be understood that these descriptions are only exemplary and are not intended to limit the scope of the present invention. In addition, in the following description, descriptions of well-known structures and technologies are omitted to avoid unnecessarily obscuring the concept of the present invention.

[0030] Such as figure 1 As shown, the method for extracting attributes of professional data entities based on attribute annotations proposed by the present invention includes the following steps:

[0031] S1. Obtain and store data to generate a database;

[0032] S2. Process the data, label and classify the entity attributes of the data in the database;

[0033] S3. Edit data extraction instructions;

[0034] S4. O...

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Abstract

The invention discloses a professional data entity attribute extraction method based on attribute labeling. The method comprises the following steps of obtaining data and generating a database; labeling entity attributes of the data in the database and classifying the entity attributes; editing a data extraction instruction; obtaining a data extraction instruction; analyzing the data extraction instruction to obtain a data extraction condition; determining a target attribute identifier according to the obtained extraction condition; executing the extraction task, and obtaining a target document according to the target attribute identifier; judging whether the data in the target document meets a data extraction condition or not; and generating data extraction results. According to the invention, the data is extracted based on attribute labeling; the extraction method is simplified, the access pressure of the database server is reduced in the extraction process, the extraction efficiencyis improved, the time is saved, the extraction result is subjected to multi-dimensional statistics and display and omnibearing figure depiction and analysis, the extraction result can be visually andclearly known, and a user can conveniently perform comprehensive data analysis.

Description

Technical field [0001] The present invention relates to the technical field of data extraction, in particular to a method for extracting attributes of professional data entities based on attribute annotation. Background technique [0002] Intelligent management and effective analysis of big data has become an urgent need. Quantitative modeling and correlation analysis of big data, and research on effective analysis and mining methods are the key to effective analysis of big data and the basis for improving scientific level; The scale of data is large, and the existing data entity extraction methods cannot extract data based on attribute annotations, and it is difficult to quickly extract the required data from them. The extraction process takes a long time and the extraction efficiency is low. Summary of the invention [0003] (1) Purpose of the invention [0004] In order to solve the technical problems in the background technology, the present invention proposes an attribute extr...

Claims

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Application Information

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IPC IPC(8): G06F16/335G06F16/338G06F16/35G06F16/36
CPCG06F16/335G06F16/338G06F16/35G06F16/367
Inventor 肖清林
Owner 厦门美域中央信息科技有限公司
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