An approach to folksonomy-based ontology maintenance for learning environments

Dragan Gasevic, Amal Zouaq, Carlo Torniai, Jelena Jovanovic, Marek Hatala

Research output: Contribution to journalArticleResearchpeer-review

25 Citations (Scopus)

Abstract

Recent research in learning technologies has demonstrated many promising contributions from the use of ontologies and semantic web technologies for the development of advanced learning environments. In spite of those benefits, ontology development and maintenance remain the key research challenges to be solved before ontology-enhanced learning environments are widely used. In this paper, we present an approach to ontology maintenance based on the use of collaborative tags contributed by learners while using learning environments. Our contribution is twofold: 1) a visualization and user interaction interface supporting the tasks of enriching ontologies with selected collaborative tags; and 2) ontology-enhanced metrics that are used for measuring semantic relatedness between collaborative tags and ontology concepts and for recommending tags which are relevant to a given ontological concept. We developed a software architecture as a proof of concept and a tool for the evaluation of our proposal. This tool is used to conduct the evaluation of the usability and effectiveness of the proposed method.

Original languageEnglish
Article number5744075
Pages (from-to)301-314
Number of pages14
JournalIEEE Transactions on Learning Technologies
Volume4
Issue number4
DOIs
Publication statusPublished - 19 Dec 2011
Externally publishedYes

Keywords

  • Applications and expert knowledge-intensive systems.
  • Collaborative learning
  • Computer uses in education
  • Ontology design

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