Constructing directed semantic relationships between concepts for training semantic reasoning

Ming Chi Liu, Yueh Min Huang, Kinshuk, Dunwei Wen

Research output: Chapter in Book/Report/Conference proceedingPublished Conference contributionpeer-review

Abstract

With the increasing volume of learning resources on the Web, the need for automatic mechanism for extracting knowledge has become more critical. The aim of this paper is to propose an approach that can automatically construct directed semantic relationships between concepts to help teachers or students efficiently retrieve appropriate knowledge from the Web. The most distinctive characteristic of this approach is its support for constructing with expandable query. This characteristic addresses the problem of users with varying backgrounds. Working with semantically similar expanded terms allows them to filter out irrelevant terms and focus on corresponding contexts. In addition, we design two learning tasks to show that how this the constructed DSR graph can be used to scaffold students' semantic reasoning. The case study suggests relevant benefits of applying semantic technologies in an educational context.

Original languageEnglish
Title of host publicationEdutainment Technologies
Subtitle of host publicationEducational Games and Virtual Reality/Augmented Reality Applications - 6th International Conference on E-learning and Games, Edutainment 2011, Proceedings
Pages402-406
Number of pages5
DOIs
Publication statusPublished - 2011
Event6th International Conference on E-Learning and Games, Edutainment 2011 - Taipei, Taiwan, Province of China
Duration: 7 Sep. 20119 Sep. 2011

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume6872 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Conference6th International Conference on E-Learning and Games, Edutainment 2011
Country/TerritoryTaiwan, Province of China
CityTaipei
Period7/09/119/09/11

Keywords

  • Concept maps
  • Ecological learning
  • Semantic technology and Simulations

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