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Knowledge-based Content Linking for Online Textbooks

Rui, Meng and Shuguang, Han and Yun, Huang and Daqing, He and Peter, Brusilovsky (2016) Knowledge-based Content Linking for Online Textbooks. In: 2016 IEEE/WIC/ACM International Conference on Web Intelligence, 13 October 2016 - 16 October 2016, Omaha, Nebraska, USA.

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Abstract

Although the volume of online educational resources has dramatically increased in recent years, many of these resources are isolated and distributed in diverse websites and databases. This hinders the discovery and overall usage of online educational resources. By using linking between related subsections of online textbooks as a testbed, this paper explores multiple knowledge-based content linking algorithms for connecting online educational resources. We focus on examining semantic-based methods for identifying important knowledge components in textbooks and their usefulness in linking book subsections. To overcome the data sparsity in representing textbook content, we evaluated the utility of external corpuses, such as more textbooks or other online educational resources in the same domain. Our results show that semantic modeling can be integrated with a term-based approach for additional performance improvement, and that using extra textbooks significantly benefits semantic modeling. Similar results are obtained when we applied the same approach to other domains.


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Details

Item Type: Conference or Workshop Item (Paper)
Status: Published
Creators/Authors:
CreatorsEmailPitt UsernameORCID
Rui, Meng
Shuguang, Han
Yun, Huang
Daqing, He
Peter, Brusilovsky
Date: 2016
Date Type: Publication
Journal or Publication Title: 2016 IEEE/WIC/ACM International Conference on Web Intelligence
Publisher: The Institute of Electrical and Electronics Engineers
Page Range: 18 - 25
Event Title: 2016 IEEE/WIC/ACM International Conference on Web Intelligence
Event Dates: 13 October 2016 - 16 October 2016
Event Type: Conference
DOI or Unique Handle: 10.1109/wi.2016.14
Schools and Programs: School of Information Sciences > Information Science
Refereed: Yes
ISBN: 978-1-5090-4470-2
Official URL: http://conferences.computer.org/wi/2016/
Funders: National Science Foundation()
Date Deposited: 05 Dec 2016 15:33
Last Modified: 11 Jun 2024 10:55
URI: http://d-scholarship.pitt.edu/id/eprint/30486

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