Automatically generating an E-textbook on the Web

J. Chen; Qing Li; W. Jia

doi:10.1007/s11280-005-1319-5

Automatically generating an E-textbook on the Web

J. Chen
, Qing Li
, W. Jia

Research output: Journal article publication › Journal article › Academic research › peer-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 language	English
Pages (from-to)	377-394
Number of pages	18
Journal	World Wide Web
Volume	8
Issue number	4 SPEC. ISS.
DOIs	https://doi.org/10.1007/s11280-005-1319-5
Publication status	Published - 1 Dec 2005
Externally published	Yes

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

More information

10.1007/s11280-005-1319-5

Cite this

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AB - 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.

KW - Concept mining

KW - E-textbook

KW - Expanding algorithm

KW - Topic hierarchy

KW - Web learning

KW - Weighting strategy

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DO - 10.1007/s11280-005-1319-5

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JO - World Wide Web

JF - World Wide Web

IS - 4 SPEC. ISS.

ER -

Automatically generating an E-textbook on the Web

Abstract

Keywords

ASJC Scopus subject areas

More information

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