Weighted ontology for subject search in Learning Content Management System

Yeni Anistyasari*, Riyanarto Sarno

*Corresponding author for this work

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

5 Citations (Scopus)

Abstract

Learning Content Management System (LCMS) is a powerful tool for supporting distance learning. One of the LCMS development problems is subject searching. Most users have no idea about subject name of what they are looking for. They only know about subject contents. Nowadays, search engine embedded with LCMS gives result based on string matching keyword based. Precision and recall of this method is low. This research proposes subject name search based on document content using weighted ontology. Ontology is built from extracted term. Each term is given a weight based on the number of its relation. User query is expanded based on its synonym in WordNet. It is also weighted and taken into account of its similarity with course ontology. System retrieves similar or same subjects based on user query. Precision and recall of weighted ontology search result is better than string matching keyword search.

Original languageEnglish
Title of host publicationProceedings of the 2011 International Conference on Electrical Engineering and Informatics, ICEEI 2011
DOIs
Publication statusPublished - 2011
Event2011 International Conference on Electrical Engineering and Informatics, ICEEI 2011 - Bandung, Indonesia
Duration: 17 Jul 201119 Jul 2011

Publication series

NameProceedings of the 2011 International Conference on Electrical Engineering and Informatics, ICEEI 2011

Conference

Conference2011 International Conference on Electrical Engineering and Informatics, ICEEI 2011
Country/TerritoryIndonesia
CityBandung
Period17/07/1119/07/11

Keywords

  • Learning Content Management System
  • system information retrieval
  • weighted ontology

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