Author(s): J. Chen & Q. Li
A good e-textbook can greatly assist a learner in accomplishing his/her learning
How to automatically generate an e-textbook for a user-specified topic hierarchy
is a novel yet important task in e-learning research.
In this chapter, an approach
to use web mining technologies as an aid in constructing an e-textbook will be introduced,
in which several tasks are combined to fulfill the goal.
First, building concept
hierarchies over a web document collection is examined.
Next, a pre-processing
step commonly employed before mining is taken: web pages are segmented according
to their layout and noisy content is detected and filtered.
A ranking strategy is
introduced to evaluate the web page’s suitability to be included in the e-textbook.
Then in order to analyze the ‘suitability’, concept features are extracted from the
unstructured text with an automatically mined pattern set.
An example system is
used to depict how web mining techniques are applied throughout the process of
With the development of web-based technologies, applications in distance learning
have become common practice.
Typical web-based learning environments such
as Virtual-U  and Web-CT  achieve increasing popularity in universities and
companies.As the people are getting more familiar with online learning systems and
the number of e-learning users increases, researchers have been trying to enhance
the learning experience.
One of the popular means is through web mining.
Size: 1,358 kb
Paper DOI: 10.2495/1-84564-152-3/14
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