Automatically generating an E-textbook on the Web

J. Chen, Qing Li, W. Jia

Research output: Journal article publicationJournal articleAcademic researchpeer-review

15 Citations (Scopus)

Abstract

Nowadays, people tend to learn from the Web because it is convenient, and rich of free information. The main means of learning on the Web is by submitting a query to a search engine, and subsequently browsing through the returned results to find relevant information. Although in many cases, a search engine such as Google works quite well, the results returned are often not appropriate for the learning purpose. In this paper, we present a novel approach to automatically generate an E-textbook for a user specified topic hierarchy. Such a technology can ease the learning process to a great extent. © 2005 Springer Science + Business Media, Inc.
Original languageEnglish
Pages (from-to)377-394
Number of pages18
JournalWorld Wide Web
Volume8
Issue number4 SPEC. ISS.
DOIs
Publication statusPublished - 1 Dec 2005
Externally publishedYes

Keywords

  • Concept mining
  • E-textbook
  • Expanding algorithm
  • Topic hierarchy
  • Web learning
  • Weighting strategy

ASJC Scopus subject areas

  • Software
  • Hardware and Architecture
  • Computer Networks and Communications

Cite this