Digital knowledge discovery method

A technology of knowledge mining and knowledge, applied in the IT field, can solve the problems of data not being classified, knowledge points not established for tourists to cluster, and large amount of data, so as to achieve the effect of facilitating knowledge acquisition

Inactive Publication Date: 2010-03-10
BEIJING CHINA E CHINA S ELECTRONICS
View PDF0 Cites 3 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

Readers can obtain a lot of knowledge through the Internet, but the amount of data is too large. Although the scope can be narrowed by searching, the data is still massive. The main reason is that the data is not classified, that is, there is no knowledge point for tourists to cluster
[0004] At present, knowledge mining of data content has been valued by more and more experts and readers, but the cost of existing technical knowledge mining is very high. After digitization, experts or special personnel read the original documents word by word, and then Mark knowledge points in corresponding places

Method used

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
View more

Image

Smart Image Click on the blue labels to locate them in the text.
Viewing Examples
Smart Image
  • Digital knowledge discovery method
  • Digital knowledge discovery method
  • Digital knowledge discovery method

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0033] Provide the application method of the present invention below by example:

[0034] 1. Meaning mining method

[0035] For example, the fonts of prefixes, phrases, and example sentences in the English-Chinese dictionary, the input personnel on the production line do not need to consider the problem of knowledge mining when inputting normally, and only need to confirm the fonts normally. Such as Figure 4 .

[0036] Among them, "ad·a·man·tine" is a prefix; "~chains" is an example sentence; "~spar" is a phrase. When inputting them, the input staff respectively input them as "+1ad·a·man·tine+", "+2~chains+" and "+3~spar+", where "+" is the font control character; the number after the font What type of font is represented, where font 1 represents the prefix font; font 2 represents the font of the example sentence; font 3 represents the font of the phrase. When the program is making an XML file, when encountering the "+" control character, the font meaning generation modul...

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to view more

PUM

No PUM Login to view more

Abstract

The invention provides a digital knowledge discovery method. The knowledge comprising classifying words, identifying characters and meanings of characters, words and sentences can be obtained under the condition that the cost is not added almost in digitalizing process; and all names, place names, event names and the like in documents and all initial characters, phrases, sentences, book names andthe like can be discovered. The invention has the characteristics that the discovered knowledge points are determined before a document is processed by a meaning marking method, a character marking method and a character identification marking method provided by the invention by digital processing units; and after the processing is finished, knowledge in specified format is generated by a knowledge generation module at first, and then the classification knowledge in documents are discovered by a knowledge generation acquisition module.

Description

technical field [0001] The present invention belongs to the field of IT, and it provides a method for digging digital knowledge, so that knowledge can be obtained under the condition of almost no increase in cost during the digitization process, including the classification of words, the recognition of words and the meanings of words, words and sentences, such as Dig out all names, place names, event names, etc., as well as all prefixes, phrases, example sentences, book titles, etc. in the literature. [0002] The digital processing unit defines the knowledge points to be excavated before processing a document through the meaning marking method, the emphatic word marking method, and the identification word marking method provided by the present invention, and generates formatted knowledge through the knowledge generation module after the processing is completed. Then the classification knowledge in the literature is mined through the knowledge acquisition module. Background ...

Claims

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to view more

Application Information

Patent Timeline
no application Login to view more
Patent Type & Authority Applications(China)
IPC IPC(8): G06F17/30
Inventor 蒋贤春郑珑蓝德康谢术清朱人杰
Owner BEIJING CHINA E CHINA S ELECTRONICS
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Try Eureka
PatSnap group products

Browse by: Latest US Patents, China's latest patents, Technical Efficacy Thesaurus, Application Domain, Technology Topic.

© 2024 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap