TY - GEN
T1 - A study on web resources' navigation for e-Learning
T2 - 2nd International Conference on Innovative Computing, Information and Control, ICICIC 2007
AU - Purwitasari, Diana
AU - Okazaki, Yasuhisa
AU - Watanabe, Kenzi
PY - 2007
Y1 - 2007
N2 - Using existing web resources for e-Learning is a very promising idea especially in reducing the cost of authoring. Envisioned as open-source, completely free, and frequently updated Wikipedia could become a good candidate. Even though Wikipedia has been structured by categories, still sometimes they are not dynamically updated when there are modifications. As web resources for e-Learning, it is a necessity to provide a navigation path in Wikipedia which semantically mapping the learning material and not merely based on the structures. The desired learning material could be provided as a request from search results. We introduce in this paper the usage of Fourier Domain Scoring (FDS) for ranking method in searching certain collection of Wikipedia web pages. Unlike other methods that would only recognize the occurrence numbers of query terms, FDS could also recognize the spread of query terms throughout the content of web pages. Based on the experiments, we concluded that the not relevant results retrieved are mainly influenced by the characteristic of Wikipedia. Given that the changes of Wikipedia web pages could be done in anypart by anyone, we concluded that it is possible if only some parts of retrieved web pages strongly related to query terms.
AB - Using existing web resources for e-Learning is a very promising idea especially in reducing the cost of authoring. Envisioned as open-source, completely free, and frequently updated Wikipedia could become a good candidate. Even though Wikipedia has been structured by categories, still sometimes they are not dynamically updated when there are modifications. As web resources for e-Learning, it is a necessity to provide a navigation path in Wikipedia which semantically mapping the learning material and not merely based on the structures. The desired learning material could be provided as a request from search results. We introduce in this paper the usage of Fourier Domain Scoring (FDS) for ranking method in searching certain collection of Wikipedia web pages. Unlike other methods that would only recognize the occurrence numbers of query terms, FDS could also recognize the spread of query terms throughout the content of web pages. Based on the experiments, we concluded that the not relevant results retrieved are mainly influenced by the characteristic of Wikipedia. Given that the changes of Wikipedia web pages could be done in anypart by anyone, we concluded that it is possible if only some parts of retrieved web pages strongly related to query terms.
UR - http://www.scopus.com/inward/record.url?scp=39049130233&partnerID=8YFLogxK
U2 - 10.1109/ICICIC.2007.98
DO - 10.1109/ICICIC.2007.98
M3 - Conference contribution
AN - SCOPUS:39049130233
SN - 0769528821
SN - 9780769528823
T3 - Second International Conference on Innovative Computing, Information and Control, ICICIC 2007
BT - Second International Conference on Innovative Computing, Information and Control, ICICIC 2007
PB - IEEE Computer Society
Y2 - 5 September 2007 through 7 September 2007
ER -