Refining the results of automatic e-textbook construction by clustering

Jing Chen, Qing Li, Ling Feng

Research output: Chapter in book / Conference proceedingChapter in an edited book (as author)Academic researchpeer-review


The abundance of knowledge-rich information on the World Wide Web makes compiling an online etextbook both possible and necessary. In our previous work, we proposed an approach to automatically generate an e-textbook by mining the ranked 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 article, we extend the previous work 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 languageEnglish
Title of host publicationMethods and Applications for Advancing Distance Education Technologies
Subtitle of host publicationInternational Issues and Solutions
PublisherIGI Global
Number of pages9
ISBN (Print)9781605663425
Publication statusPublished - 1 Dec 2009
Externally publishedYes

ASJC Scopus subject areas

  • Social Sciences(all)


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