Automatically generating an e-Textbook on the web

Jing Chen; Qing Li; Liping Wang; Weijia Jia

Automatically generating an e-Textbook on the web

Jing Chen, Qing Li, Liping Wang, Weijia Jia

Research output: Journal article publication › Journal article › Academic research › peer-review

Abstract

Nowadays, people tend to learn from the Web because it is convenient, and rich of free information. One significant means of learning on the Web is by submitting a query to a search engine, and browsing through the results to find relevant information. Although in many cases, the search engine works quite well, the results returned are often not appropriate for the learning purpose. In this paper, we propose 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. The validity of our approach is verified through a case study.

Original language	English
Pages (from-to)	35-42
Number of pages	8
Journal	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume	3143
Publication status	Published - 1 Dec 2004
Externally published	Yes

ASJC Scopus subject areas

Theoretical Computer Science
General Computer Science

Cite this

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abstract = "Nowadays, people tend to learn from the Web because it is convenient, and rich of free information. One significant means of learning on the Web is by submitting a query to a search engine, and browsing through the results to find relevant information. Although in many cases, the search engine works quite well, the results returned are often not appropriate for the learning purpose. In this paper, we propose 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. The validity of our approach is verified through a case study.",

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AU - Chen, Jing

AU - Li, Qing

AU - Wang, Liping

AU - Jia, Weijia

PY - 2004/12/1

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N2 - Nowadays, people tend to learn from the Web because it is convenient, and rich of free information. One significant means of learning on the Web is by submitting a query to a search engine, and browsing through the results to find relevant information. Although in many cases, the search engine works quite well, the results returned are often not appropriate for the learning purpose. In this paper, we propose 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. The validity of our approach is verified through a case study.

AB - Nowadays, people tend to learn from the Web because it is convenient, and rich of free information. One significant means of learning on the Web is by submitting a query to a search engine, and browsing through the results to find relevant information. Although in many cases, the search engine works quite well, the results returned are often not appropriate for the learning purpose. In this paper, we propose 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. The validity of our approach is verified through a case study.

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SN - 0302-9743

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JO - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

JF - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

ER -

Automatically generating an e-Textbook on the web

Abstract

ASJC Scopus subject areas

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