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

Intelligent situational teaching method and system based on knowledge graph and dialogue robot

A dialogue robot and knowledge map technology, applied in the field of intelligent situational teaching methods and systems, can solve the problems of less research on knowledge maps, and achieve the effect of promoting intelligent upgrading

Active Publication Date: 2022-06-07
HUAQIAO UNIVERSITY
View PDF3 Cites 0 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0003] In terms of knowledge graphs, most of today’s knowledge graphs are topic-centered, and there are many open source large-scale knowledge graphs on the Internet, but there are few studies on context-centered knowledge graphs.

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
  • Intelligent situational teaching method and system based on knowledge graph and dialogue robot
  • Intelligent situational teaching method and system based on knowledge graph and dialogue robot
  • Intelligent situational teaching method and system based on knowledge graph and dialogue robot

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0064] like figure 1 As shown, this embodiment provides an intelligent situational teaching method based on a knowledge graph and a dialogue robot, which specifically includes the following steps:

[0065] Build a contextual knowledge graph;

[0066] S21: Design different contextual semantic ontology structures for different context types; Semantic ontology structures of realistic contexts S r Including {persons, things, situations, places, activities, expression skills}; the semantic ontology structure of abstract situations S a Including {knowledge points}; the semantic ontology structure S of the biographical context b Including {time, character, work, status / honor, talent, experience / event process, ideal / talent, contribution}; Semantic ontology structure S of fable story situation f Including {characters, things, reason / meaning / revelation, place, process, time, famous sayings / idioms allusions}; the semantic ontology structure S of poetry and song situations p Including...

Embodiment 2

[0085] like figure 2 As shown, in this embodiment, an intelligent situational teaching system based on knowledge graph and dialogue robot is provided, which specifically includes the following modules:

[0086] Building modules to build contextual knowledge graphs;

[0087] Design different situational semantic ontology structures for different situation types; the semantic ontology structure of real situations S r Including {persons, things, situations, places, activities, expression skills}; the semantic ontology structure of abstract situations S a Including {knowledge points}; the semantic ontology structure S of the biographical context b Including {time, character, work, status / honor, talent, experience / event process, ideal / talent, contribution}; Semantic ontology structure S of fable story situation f Including {characters, things, reason / meaning / revelation, place, process, time, famous sayings / idioms allusions}; the semantic ontology structure S of poetry and song ...

Embodiment 3

[0106] The invention is an intelligent situational teaching method based on a knowledge graph and a dialogue robot, comprising the following steps: (1) constructing a situational knowledge graph; (2) generating a situational question-and-answer corpus; (3) implementing a situational teaching dialogue robot.

[0107] The following scenario of "Chinese school" is taken as an example to verify the effectiveness of the present invention. Specific steps are as follows:

[0108] Step 1: Build a contextual knowledge graph

[0109] The "Chinese school" situation belongs to the real situation in the situation category, and the situational semantic ontology structure of the real situation knowledge map S r like image 3 and Figure 4 shown. image 3 It is a conceptual hierarchy diagram of the knowledge graph of the real situation, and the semantic ontology structure of the real situation includes {people, things, situations, places, activities, expression skills}. Figure 4 It is a...

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 present invention provides an intelligent situational teaching method and system based on a knowledge map and a dialogue robot. The method includes: first constructing a situational knowledge map, secondly generating a situational teaching corpus based on the situational knowledge map, and finally carrying out intelligent situational oral English teaching based on a dialogue robot. The invention realizes highly efficient situational teaching corpus creation and a personalized situational oral language learning mode through knowledge map technology and dialogue robot technology, and promotes the intelligent upgrading of situational teaching methods.

Description

technical field [0001] The invention relates to the field of computer technology, in particular to an intelligent situational teaching method and system based on a knowledge graph and a dialogue robot. Background technique [0002] The purpose of vertical conversational bots is to help users complete several tasks. These tasks are pre-set and limited, and each task has its own defined flow, required inputs, and specific outputs, such as querying the system. At this stage, the development of conversational robot technology in vertical fields is relatively mature, and commercial products such as smart speakers already exist. However, in the field of Chinese education, the application of conversational robot technology in vertical fields is less, especially for conversational robots in situational oral language teaching, which can replace teachers in oral language teaching and provide students with efficient and personalized teaching services. . [0003] In terms of knowledg...

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): G06F16/36G06F16/332G06F40/30G09B5/00
CPCG06F16/367G06F16/3329G06F40/30G09B5/00
Inventor 王华珍曹恒宁缑锦
Owner HUAQIAO UNIVERSITY
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