Refining the Results of Automatic e-Textbook Construction by Clustering

J. Chen, Q Li, L. Feng

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

Abstract

The abundance of knowledge-rich information on the World Wide Web makes compiling an online e-textbook both possible and necessary. The authors of [7] proposed an approach to automatically generate an e-textbook by mining the ranking lists of the search engine. However, the performance of the approach was degraded by Web pages that were relevant but not actually discussing the desired concept. In this paper, we extend the work in [7] by applying a clustering approach before the mining process. The clustering approach serves as a post-processing stage to the original results retrieved by the search engine, and aims to reach an optimum state in which all Web pages assigned to a concept are discussing that exact concept.
Original languageUndefined
Title of host publicationProceedings of the International Conference on Web-based Learning
Place of PublicationBerlin / Heidelberg, Germany
PublisherSpringer
Pages311-319
Number of pages9
ISBN (Print)978-3-540-27895-5
DOIs
Publication statusPublished - Aug 2005
EventInternational Conference on Web-based Learning - Hong Kong, China
Duration: 31 Jul 20053 Aug 2005

Publication series

NameLecture Notes in Computer Science
PublisherSpringer
Volume3583
ISSN (Print)0302-9743

Conference

ConferenceInternational Conference on Web-based Learning
Period31/07/053/08/05
Other31 Jul - 3 Aug 2005

Keywords

  • EWI-7192
  • METIS-229562
  • IR-63497

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