University of Illinois Urbana-Champaign

Automatic Course Website Discovery from Search Engine Results

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

Content Files
2pt17_Meng-Automatic.pdf

Permalink

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

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.

Owning Collections

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