TY - GEN
T1 - A grid-based distributed computing environment for automatic concept extraction and content supporting service
AU - Wang, Chih Ming
AU - Chiang, Ming Chao
AU - Yang, Chu-Sing
PY - 2009/12/1
Y1 - 2009/12/1
N2 - This paper proposes an automatic concept extraction and content supporting service, called ACECSS. The service sends a large number of question items to the word segmentation system of Academia Sinica, Taiwan to split each question item into terms. Then, a database of terms is created, and the sequence relation of terms is found. After that, ACECSS will automatically extract concepts associated with each question item when teachers edit or students read the examination sheet. The concepts can even be sent as queries to a search engine to get more contents to aid learning. In addition, ACECSS is able to automatically rank the relations between the learning contents based on the similarity between the learning contents, the number of times the learning contents are accessed, and voting by the user of the learning contents. Moreover, the computations of similarity are distributed using grid computing technology. As such, the service described herein can aid the users of the service to learn much quicker and better.
AB - This paper proposes an automatic concept extraction and content supporting service, called ACECSS. The service sends a large number of question items to the word segmentation system of Academia Sinica, Taiwan to split each question item into terms. Then, a database of terms is created, and the sequence relation of terms is found. After that, ACECSS will automatically extract concepts associated with each question item when teachers edit or students read the examination sheet. The concepts can even be sent as queries to a search engine to get more contents to aid learning. In addition, ACECSS is able to automatically rank the relations between the learning contents based on the similarity between the learning contents, the number of times the learning contents are accessed, and voting by the user of the learning contents. Moreover, the computations of similarity are distributed using grid computing technology. As such, the service described herein can aid the users of the service to learn much quicker and better.
UR - http://www.scopus.com/inward/record.url?scp=72849142147&partnerID=8YFLogxK
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U2 - 10.1109/UIC-ATC.2009.108
DO - 10.1109/UIC-ATC.2009.108
M3 - Conference contribution
AN - SCOPUS:72849142147
SN - 9780769537375
T3 - UIC-ATC 2009 - Symposia and Workshops on Ubiquitous, Autonomic and Trusted Computing in Conjunction with the UIC'09 and ATC'09 Conferences
SP - 161
EP - 166
BT - UIC-ATC 2009 - Symposia and Workshops on Ubiquitous, Autonomic and Trusted Computing in Conjunction with the UIC'09 and ATC'09 Conferences
T2 - Symposia and Workshops on Ubiquitous, Autonomic and Trusted Computing in Conjunction with the UIC'09 and ATC'09 Conferences, UIC-ATC 2009
Y2 - 7 July 2009 through 9 July 2009
ER -