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Method, device, device and storage medium for constructing knowledge spectrum of data

A construction method and knowledge map technology, applied in the field of big data mining, can solve the problem of single first attribute category

Inactive Publication Date: 2019-03-15
RUN TECH CO LTD BEIJING
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0005] Embodiments of the present invention provide a method, device, device, and storage medium for constructing a data knowledge map, which solves the problem of the singleness of the first attribute category in the prior art, and constructs a knowledge map with more comprehensive information

Method used

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  • Method, device, device and storage medium for constructing knowledge spectrum of data
  • Method, device, device and storage medium for constructing knowledge spectrum of data
  • Method, device, device and storage medium for constructing knowledge spectrum of data

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Experimental program
Comparison scheme
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Embodiment 1

[0049] figure 1 It is a flow chart of a data knowledge map construction method provided by Embodiment 1 of the present invention. This embodiment is applicable to the situation of classifying data, and the method can be executed by a data knowledge map construction device, which can adopt It can be implemented in the form of software and / or hardware, and can be integrated in a local device. Specifically, refer to figure 1 , the method includes the following steps:

[0050] S110. Obtain sample data.

[0051] The sample data can be structured data covering multiple industries, involving finance, real estate, medical and health care, education, etc., or unstructured data. Among them, structured data can also be called row data, which can be represented by two-dimensional tables in the database Data that is logically expressed and realized through a structure, unstructured data is data that has an irregular or incomplete data structure, has no predefined data model, and is inco...

Embodiment 2

[0061] Embodiment 2 of the present invention describes the construction process and results of the data knowledge graph on the basis of the above embodiments, and the form of the knowledge graph takes a tree structure form as an example.

[0062] (1) The construction process and results of the knowledge map of the ground object

[0063] According to the definition of the ground object 2, the ground object 2 is divided into the real ground 21 and the virtual ground 22, wherein the position information of the real ground 21 is the position information of the three-dimensional space in which we live, and the judgment of the real ground 21 is relatively easy in practical applications , when it is determined that the keyword represents the real place 21, the meaning of the keyword can be further analyzed with the help of geography, geographic information system and other subject knowledge. division, etc., while latitude and longitude or administrative division is a form of detailed...

Embodiment 3

[0078] Figure 7 The flow chart of a data knowledge map construction method provided by Embodiment 3 of the present invention. On the basis of the above embodiments, after the knowledge map corresponding to the sample data is constructed, the knowledge map is verified and adjusted, so as to Obtain a more complete knowledge map, so that it can provide a more reliable basis for data processing. Specifically, the method includes:

[0079] S341. Acquire actual data.

[0080] The actual data can be different from the sample data, and can also contain multiple industries and involve multiple fields. It is understandable that the more fields the actual data involves and the larger the scale, the verification of the knowledge map corresponding to the sample data As a result, the reliability is higher, and the actual data is obtained in a similar way to the sample data, which will not be repeated here.

[0081] S342. Analyzing the meaning of the keywords in the actual data to obtain ...

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Abstract

The invention discloses a knowledge map construction method of data, device, apparatus and storage medium, The method comprises: Obtain sample data, performing word meaning analysis on keywords in thesample data, obtaining a first attribute category and a first attribute sub-category corresponding to each of the keywords, determining an association relationship between the first attribute sub-categories according to a preset rule, according to an association relationship between a first attribute class and a first attribute sub-class corresponding to each of the keywords and the first attribute sub-class, constructing a knowledge map corresponding to the sample data, The technical scheme obtains different first attribute categories and first attribute sub-categories corresponding to different keywords through the word meaning analysis of the sample data, solves the problem of singularity of the first attribute categories in the prior art, constructs a knowledge map with more comprehensive information, and realizes more complete classification of the data.

Description

technical field [0001] Embodiments of the present invention relate to the technical field of big data mining, and in particular, to a method, device, device, and storage medium for constructing a data knowledge map. Background technique [0002] With the rapid development of informatization, the world of data explosion has entered the era of big data. How to extract valuable information from big data and transform it into practically available resources to support various complex The business is an important proposition faced by the field of information technology. [0003] Over the past few years, technologies related to big data have continued to develop, and emerging technologies such as cloud computing, machine learning, and natural language processing have been integrated into the field of big data processing, which has played a significant role in promoting the development of big data. However, not all problems can be solved by technical means. The processing of data ...

Claims

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Application Information

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IPC IPC(8): G06F16/36
Inventor 谢永恒王梅张杨
Owner RUN TECH CO LTD BEIJING
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