Constructing Directed Semantic Relationships between Concepts for Training Semantic Reasoning

  • Ming-Chi Liu
  • Yueh-Min Huang
  • Kinshuk
  • Dunwei Wen
Part of the Lecture Notes in Computer Science book series (LNCS, volume 6872)

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.

Keywords

Ecological learning Concept maps Semantic technology and Simulations 

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Copyright information

© Springer-Verlag Berlin Heidelberg 2011

Authors and Affiliations

  • Ming-Chi Liu
    • 1
  • Yueh-Min Huang
    • 1
  • Kinshuk
    • 2
  • Dunwei Wen
    • 2
  1. 1.Dept. of Engineering ScienceNational Cheng Kung UniversityTainanTaiwan
  2. 2.School of Computing and Information SystemsAthabasca UniversityCanada

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