Content-based navigation in Web-based learning applications

Diana Purwitasari*, Yasuhisa Okazaki, Kenzi Watanabe

*Corresponding author for this work

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

2 Citations (Scopus)


Rapid growth of the Internet make Web-based applications becomes a new means to learn. Authors of Web-based learning applications with multiple resources provide navigation to help users understanding structured idea of learning topics. Since the increasing of resources is such a growing field, navigation map of learning topics would be out of date if it is manually constructed. We define content-based navigation as a sequence list of topics and sub topics hierarchically structured from a collection of documents which is created without relying on human power. Content-based navigation not only provides subjects domain exists in the collection but also offers guidance of relevant items for users who want to learn particular subjects. In this paper, we present a framework for generating content-based navigation from resources applied in Web-based learning applications. We use data mining techniques to extract existing but hidden topics. We do hypergraph partitioning to derive the topics from hyperedges of words correlation which connecting vertices of topics corresponding words. Then we employ agglomerative clustering to merge any overlapping subjects of topics and produce a hierarchical topics list of navigation.

Original languageEnglish
Title of host publicationProceedings - ICCE 2008
Subtitle of host publication16th International Conference on Computers in Education
Number of pages8
Publication statusPublished - 2008
Externally publishedYes
Event16th International Conference on Computers in Education, ICCE 2008 - Taipei, Taiwan, Province of China
Duration: 27 Oct 200831 Oct 2008

Publication series

NameProceedings - ICCE 2008: 16th International Conference on Computers in Education


Conference16th International Conference on Computers in Education, ICCE 2008
Country/TerritoryTaiwan, Province of China


  • Content-based navigation
  • Data mining
  • Generating method
  • Topic extraction


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