Automatic Course Website Discovery from Search Engine Results

Meng, Rui; Zhao, Zexin; Chi, Yu; He, Daqing

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https://hdl.handle.net/2142/98878 Copy

Description

Title

Automatic Course Website Discovery from Search Engine Results

Author(s)

• Meng, Rui
• Zhao, Zexin
• Chi, Yu
• He, Daqing

Issue Date

2017

Keyword(s)

• Course website
• Website identification
• Search results filtering
• Web mining
• Resource discovery
• Online educational resource (OER)

Date of Ingest

2017-12-05T19:00:27Z

Abstract

With the rapid development of Internet Technology, the forms of education have been undergoing drastic changes. Instructors are used to posting teaching materials on course websites and setting them publicly accessible. Thus large amounts of course resources have been well organized and shared, which also provide possibilities for building knowledge graphs for a specific domain. However, so far no specific method has been developed for collecting online course resources. In this paper, we propose a method to identify course websites by filtering search results from a general search engine. Experiment results show that the proposed method could achieve good performances on both within-domain and cross-domain tasks, which lays a solid foundation for further work on mining and integrating the online educational resources.

Publisher

iSchools

Series/Report Name or Number

iConference 2017 Proceedings Vol. 2

Type of Resource

text

Genre of Resource

Conference Poster

Language

en

Permalink

http://hdl.handle.net/2142/98878

Copyright and License Information

Copyright 2017 is held by the authors.

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