Adaptive content-based navigation generating system: Data mining on unorganized multi web resources

Diana Purwitasari*, Yasuhisa Okazaki, Kenzi Watanabe

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review


Rapid growth of the Internet makes Web-based applications becomes a new means to learn. Application for learning takes into account of creating navigation as an important task to help users in understanding structured idea of learning topics within its materials collection. Let multi resources become the collection of a learning application. Then the arising problem is how to structure such abundance resources as navigation in the application that could satisfy different interests of users. Our adaptive content-based navigation generating system provides a domain of subjects called topics extracted from the collection. System automatically produces an organized structure of topics offering users' guidance for learning. Since the collection consists of Web pages, system will equally exploit information of contents and hyperlinks with the aim of generating navigation. When context interests of users changes like in a time user clicks a topic to know more about it, content-based navigation will adapt. System exploits user model because of that adaptation.

Original languageEnglish
Pages (from-to)37-43
Number of pages7
JournalInternetworking Indonesia Journal
Issue number2
Publication statusPublished - Sept 2009


  • Navigation generating system
  • Text mining
  • Unorganized web resources


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