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Title:Automatic Course Website Discovery from Search Engine Results
Author(s):Meng, Rui; Zhao, Zexin; Chi, Yu; He, Daqing
Subject(s):Course website
Website identification
Search results filtering
Web mining
Resource discovery
Online educational resource (OER)
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.
Issue Date:2017
Publisher:iSchools
Citation Info:Meng, R., Zhao, Z., Chi, Y. & He, D. (2017). Automatic Course Website Discovery from Search Engine Results. In iConference 2017 Proceedings, Vol. 2 (pp. 142 – 146). https://doi.org/10.9776/17353
Series/Report:iConference 2017 Proceedings Vol. 2
Genre:Conference Poster
Type:Text
Language:English
URI:http://hdl.handle.net/2142/98878
DOI:https://doi.org/10.9776/17353
Rights Information:Copyright 2017 is held by the authors.
Date Available in IDEALS:2017-12-05


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