A Study on Web Resources_ Navigation for e-Learning: Usage of Fourier Domain Scoring on Web Pages Ranking Method
Diana Purwitasari, Yasuhisa Okazaki, Kenzi Watanabe · 2007
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 any-part by anyone, we concluded that it is possible if only some parts of retrieved Web pages strongly related to query terms.