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21st International Conference on Advanced Information Networking and Applications Workshops (AINAW'07)
Enhanced Semantic Question Answering System for e-Learning Environment
Niagara Falls, Ontario, Canada
May 21-May 23
ISBN: 0-7695-2847-3
ASCII Text
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Ying-Hong Wang, Wen-Nan Wang, Chu-Chi Huang, "Enhanced Semantic Question Answering System for e-Learning Environment," Advanced Information Networking and Applications Workshops, International Conference on, vol. 2, pp. 1023-1028, 21st International Conference on Advanced Information Networking and Applications Workshops (AINAW'07), 2007.
 
 
BibTex
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@article{ 10.1109/AINAW.2007.174,
author = {Ying-Hong Wang and Wen-Nan Wang and Chu-Chi Huang},
title = {Enhanced Semantic Question Answering System for e-Learning Environment},
journal ={Advanced Information Networking and Applications Workshops, International Conference on},
volume = {2},
year = {2007},
isbn = {0-7695-2847-3},
pages = {1023-1028},
doi = {http://doi.ieeecomputersociety.org/10.1109/AINAW.2007.174},
publisher = {IEEE Computer Society},
address = {Los Alamitos, CA, USA},
}
 
 
RefWorks Procite/RefMan/Endnote
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TY - CONF
JO - Advanced Information Networking and Applications Workshops, International Conference on
TI - Enhanced Semantic Question Answering System for e-Learning Environment
SN - 0-7695-2847-3
SP1023
EP1028
A1 - Ying-Hong Wang,
A1 - Wen-Nan Wang,
A1 - Chu-Chi Huang,
PY - 2007
KW - Semantic Question Answering
KW - Link Grammar
KW - e-Learning
VL - 2
JA - Advanced Information Networking and Applications Workshops, International Conference on
ER -
 
Ying-Hong Wang, Tamkang University, Taiwan
Wen-Nan Wang, Tamkang University, Taiwan
Chu-Chi Huang, Tamkang University, Taiwan
To support an automatic assistant learning and self-paced learning mechanism is the objective in today?s e-learning environment. Researches of QA system focus on the following characteristics: understand questioners? questions in the form of nature language; enhance the accuracy of search result, and establish automatic learning mechanism. Base these characteristics, we develop a Semantic English QA system to analyze learners? questions and find the relevant answer from the target course ontology. Firstly, this research uses Link Grammar Parser to analyze the syntactic information from the input sentence. According to the syntactic information, secondly, the following process queries the similar word lists generated from WordNet to extend relevant meaning. Thirdly, the two kinds of information can be used to form a semantic tree. Lastly, the semantic tree will map the Data Structure course ontology and find the relevant contents in order to answer learners.
Index Terms:
Semantic Question Answering, Link Grammar, e-Learning
Citation:
Ying-Hong Wang, Wen-Nan Wang, Chu-Chi Huang, "Enhanced Semantic Question Answering System for e-Learning Environment," ainaw, vol. 2, pp.1023-1028, 21st International Conference on Advanced Information Networking and Applications Workshops (AINAW'07), 2007
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