Refining the results of automatic e-textbook construction by clustering

Jing Chen, Qing Li, Ling Feng

Research output: Journal article publicationConference articleAcademic researchpeer-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 languageEnglish
Pages (from-to)311-319
Number of pages9
JournalLecture Notes in Computer Science
Volume3583
Publication statusPublished - 19 Oct 2005
Externally publishedYes
Event4th International Conference on Web- Based Learning - ICWL 2005 - Hong Kong, China
Duration: 31 Jul 20053 Aug 2005

ASJC Scopus subject areas

  • Theoretical Computer Science
  • Computer Science(all)

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