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

Method for building conceptual knowledge map based on Wikipedia

A knowledge map and Wikipedia technology, applied in the field of knowledge management, can solve problems such as limited scope of application, difficulty in understanding algorithms, and obstacles to the construction and realization of knowledge maps, and achieve the effect of strong scalability

Inactive Publication Date: 2012-07-25
HUAZHONG UNIV OF SCI & TECH
View PDF3 Cites 23 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0006] Although knowledge maps have become a research hotspot in knowledge management, traditional knowledge maps are often artificially produced for a specific purpose in a specialized field. New systems need to be re-developed, and the versatility is not strong, and because the information of knowledge sources is not easy to obtain, the development efficiency is very low. At the same time, the knowledge in these knowledge maps is static and cannot reflect the latest knowledge changes. In 2009, some researchers used data mining and natural language processing algorithms to realize the construction method of dynamic knowledge map, but the difficulty of understanding the algorithm and the complexity of improvement hindered the realization of knowledge map construction

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
  • Method for building conceptual knowledge map based on Wikipedia
  • Method for building conceptual knowledge map based on Wikipedia
  • Method for building conceptual knowledge map based on Wikipedia

Examples

Experimental program
Comparison scheme
Effect test

example

[0097] The basic steps of the present invention will be further described below by taking the construction process and use of the conceptual knowledge node titled "Green computing" and the category knowledge node titled "Category: Computers and the environment" as examples:

[0098] The first step is to extract knowledge documents: parse all knowledge documents from the full-text data of Wikipedia, the document number corresponding to the concept knowledge document titled "Green computing" is 189234, and store it in the local directory "D:\wikidocs\concepts" , the stored file name is 189234, the document number corresponding to the category knowledge document titled "Category: Computers and the environment" is 721259, and it is stored in the local directory "D:\wikidocs\categories", and the stored file name is 721259;

[0099] The second step is to obtain knowledge information: by analyzing the knowledge document, obtain the basic knowledge information of "Green computing...

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 discloses a method for building a conceptual knowledge map based on Wikipedia, which includes steps: firstly, extracting knowledge documents from a Wikipedia full-text database and classifying and storing the extracted documents; secondly, analyzing each knowledge document to obtain knowledge information and storing the knowledge information in a database; thirdly, transforming the knowledge information into corresponding conceptual knowledge nodes and category knowledge nodes on the basis of standards in a knowledge node format description library and storing the knowledge nodes in file format locally; fourthly, building an index to provide a function of knowledge information searching via key words and displaying the searching results. The conceptual knowledge map is applicable to a plurality of fields, the knowledge information can be updated along with Wikipedia, obtaining knowledge source is easy, knowledge information is comprehensive, extensible markup language is adopted to describe the knowledge node information, and accordingly, the conceptual knowledge map is high in extensibility and can be applied to multiple platforms.

Description

technical field [0001] The invention belongs to the field of knowledge management, and in particular relates to a method for constructing a conceptual knowledge map by using Wikipedia. Background technique [0002] Since the 1990s, with the rapid development of modern information technology, mankind has entered the era of knowledge economy. On the one hand, the total amount of knowledge is increasing rapidly, and knowledge resources are increasingly abundant. The value has also continued to increase. The emergence of knowledge management is to effectively organize and manage these rapidly growing massive knowledge, to exert the huge power of knowledge, and to enable it to create greater value. [0003] Knowledge management is a series of processes that transform intellectual capital into value, including knowledge acquisition, organization, transmission, sharing, dissemination, application and innovation. Its purpose is to deliver the most appropriate knowledge to the most...

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 金海赵峰袁平鹏方飞
Owner HUAZHONG UNIV OF SCI & TECH
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