An ontology-based framework for itembank integration and knowledge sharing

Shih Pang Tseng, Ming Chao Chiang, Chu Sing Yang, Chun Wei Tsai

Research output: Contribution to journalArticlepeer-review

1 Citation (Scopus)

Abstract

The Internet is abounding with information, but there is simply no easy way to find all the information we need in a single place, well organized and easily accessible, let alone share. For this reason, we present a novel framework for resolving these issues. The proposed framework incorporates and unifies techniques from a variety of disciplines such as information extraction, information retrieval, fuzzy clustering, and ontology. To evaluate the performance of the proposed framework, we use it to solve the itembank integration and knowledge sharing problem faced by many e-Learning systems. Our experimental results show that the proposed framework can not only effectively integrate information available in the Internet, but it can also properly organize the information into a unified itembank of an e-Learning system, thus making it possible for the users of such a system to not just find but share all the information.

Original languageEnglish
Pages (from-to)116-124
Number of pages9
JournalInternational Journal of Fuzzy Systems
Volume12
Issue number2
Publication statusPublished - 2010 Jun 1

All Science Journal Classification (ASJC) codes

  • Software
  • Theoretical Computer Science
  • Computational Theory and Mathematics
  • Artificial Intelligence

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