Ontology-based learning content repurposing

Katrien Verbert, Dragan Gašević, Jelena Jovanović, Erik Duval

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

25 Citations (Scopus)

Abstract

This paper investigates basic research issues that need to be addressed for developing an architecture that enables repurposing of learning objects in a flexible way. Currently, there are a number of Learning Object Content Models (e.g. the SCORM Content Aggregation Model) that define learning objects and their components in a more or less precise way. However, these models do not allow repurposing of fine-grained components (sentences, images). We developed an ontology-based solution for content repurposing. The ontology is a solid basis for an architecture that will enable on-the-fly access to learning object components and that will facilitate repurposing these components.

Original languageEnglish
Title of host publication14th International World Wide Web Conference, WWW2005
PublisherAssociation for Computing Machinery (ACM)
Pages1140-1141
Number of pages2
ISBN (Print)1595930515, 9781595930514
DOIs
Publication statusPublished - 2005
Externally publishedYes
EventInternational World Wide Web Conference 2005 - Chiba, Japan
Duration: 10 May 200514 May 2005
Conference number: 14th
https://dl.acm.org/doi/proceedings/10.1145/1060745 (Proceedings)

Conference

ConferenceInternational World Wide Web Conference 2005
Abbreviated titleWWW 2005
Country/TerritoryJapan
CityChiba
Period10/05/0514/05/05
Internet address

Keywords

  • Content models
  • Learning objects
  • Metadata
  • Ontologies
  • Repurposing

Cite this