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Review of Challenges in Content Extraction in Web Based Personalized Learning Content Management Systems

  • Lakshmi Sunil Prakash
  • , N S Kutti
  • , Abudulkadir Sajeev

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

3 Citations (Scopus)

Abstract

A preliminary work in support of our research in developing ontology driven LO extraction analyzes some of the existing Learning Content Management Systems (LCMS) with emphasis on Architecture and Design Issues. Learning Object Repositories (LOR) have great impact on retrieval and storage of contents, so performance improvement issues via content aggregation in LORs have been studied in this paper. The paper discusses the challenges that are being faced by Web-Based LCMS with regards to content extraction.
Original languageEnglish
Title of host publicationiiWAS '10 - Proceedings of the 12th International Conference on Information Integration and Web-based Applications & Services
Place of PublicationNew York, United States of America
PublisherAssociation for Computing Machinery (ACM)
Pages829-832
ISBN (Print)9781450304214
DOIs
Publication statusPublished - 2010
EventiiWAS 2010: 12th International Conference on Information Integration and Web-based Applications & Services - Paris, France
Duration: 8 Nov 201010 Nov 2010

Conference

ConferenceiiWAS 2010: 12th International Conference on Information Integration and Web-based Applications & Services
CityParis, France
Period8/11/1010/11/10

Keywords

  • Information Systems Development Methodologies
  • Software Engineering

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