Looking for breakthrough ideas for innovation challenges? Try Patsnap Eureka!

Classification knowledge acquisition method and device

A technology of knowledge acquisition and knowledge, applied in the computer field, can solve problems such as classification knowledge field deviation, achieve the effect of ensuring field correlation, solving field deviation, and improving efficiency

Active Publication Date: 2016-05-18
PEKING UNIV
View PDF7 Cites 0 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0005] The present invention provides a classification knowledge acquisition method and device to solve the problem of deviation in the acquired classification knowledge field and improve the efficiency of the acquired classification knowledge

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
  • Classification knowledge acquisition method and device
  • Classification knowledge acquisition method and device

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0021] figure 1 This is a schematic flowchart of Embodiment 1 of the method for obtaining classification knowledge according to the present invention. The execution subject of this embodiment may be various types of terminal devices such as a mobile phone, a personal computer (PC), and a tablet computer (PAD). It is a module with data processing function in various terminal equipment, such as: Central Processing Unit (Central Processing Unit, hereinafter referred to as: CPU) and so on. like figure 1 As shown, the method of this embodiment includes:

[0022] S101: Search the original seed term to obtain the first relevant text.

[0023] For example, if you want to obtain the classification knowledge of "programming language", the original seed term is "programming language", receive the input "programming language", and search according to "programming language", the search can be in Searching on a certain search engine on the Internet can also be performed in an existing da...

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 classified knowledge acquiring method and device. First correlation vocabulary is acquired from a first relevant text by acquiring the first correlation text of original seed terms, a second relevant text is obtained by searching for the first correlation vocabulary, the second relevant text is screened according to the field of the original seed terms to obtain a first subset in the second relevant text and matched with the field, whether relevancy of the first subset and the field of the original seed terms reaches the preset value is judged, namely the field relevancy of the first correlation vocabulary used for acquiring the second relevant text is judged, and the classified knowledge of the original seed terms is acquired based on a judging result. Therefore, the field relevancy of the acquired classified knowledge can be acquired. The method and device solves the problem of field deviation of the acquired classified knowledge, and the effective rate of the acquired classified knowledge is further improved.

Description

technical field [0001] The present invention relates to computer technology, and in particular, to a classification knowledge acquisition method and device. Background technique [0002] With the rapid development of Internet technology, people are increasingly accustomed to obtaining required information from the Internet. [0003] In the prior art, people usually input a seed term, search for the seed term, obtain the related text of the seed term, and obtain the classification knowledge of the seed term from the related text. The classification knowledge is the first associated word and the first associated word and the seed. The classification relationship of terms, and then search the first associated vocabulary, then obtain the related text of the first associated vocabulary, and then obtain the classification knowledge of the seed term from the related text of the first associated vocabulary, that is, the information obtained from the related text of the first associa...

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 Patents(China)
IPC IPC(8): G06F17/30
Inventor 李戈金芝牟力立邢雪源
Owner PEKING UNIV
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Patsnap Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Patsnap Eureka Blog
Learn More
PatSnap group products

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

© 2024 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap|About US| Contact US: help@patsnap.com