Ontology-based learning object searching technique with granular feature extraction

A. A.Gede Yudhi Paramartha, Harry Budi Santoso, Zainal Arifin Hasibuan

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

3 Citations (Scopus)

Abstract

The development of e-learning cannot be separated from the creation of learning objects which are always improving and more diverse. In this study, we propose a technique to perform learning object searching that use a granular learning object concept using ontology representation. The concept of granular learning objects is done by separating the materials with their sub-materials. A semantic web-based search engine is also used to explore existing learning objects. The result of the research shows that the implementation of granular leaning object ontology, and semantic web-based search engine, can improve searching performance by 29,7% better than search engine which uses document index-based searching technique. The search results do not only show the general description of a learning object, but can also show the sub-materials and the relationships among those materials. An information in the form of pictures and their descriptions about the retrieved learning object can also be displayed.

Original languageEnglish
Title of host publication16th International Conference on Information Integration and Web-Based Applications and Services, iiWAS 2014 - Proceedings
EditorsMaria Indrawan-Santiago, Ismail Khalil, Hong-Quang Nguyen, A Min Tjoa, Matthias Steinbauer, Gabriele Anderst-Kotsis
PublisherAssociation for Computing Machinery
Pages395-400
Number of pages6
ISBN (Electronic)9781450330015
DOIs
Publication statusPublished - 4 Dec 2014
Event16th International Conference on Information Integration and Web-Based Applications and Services, iiWAS 2014 - Hanoi, Viet Nam
Duration: 4 Dec 20146 Dec 2014

Publication series

NameACM International Conference Proceeding Series
Volume04-06-December-2014

Conference

Conference16th International Conference on Information Integration and Web-Based Applications and Services, iiWAS 2014
CountryViet Nam
CityHanoi
Period4/12/146/12/14

Keywords

  • Granular
  • Learning object
  • Ontology
  • Semantic web

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