Lecture Notes in Computer Science- P67:This year, we received about 170 submissions to ICWL 2008. There were a total of 52 full papers, representing an acceptance rate of about 30%, plus one invited paper accepted for inclusion in this LNCS proceedings. The authors of these accepted papers | Methodology for Supporting Novel Model of E-Learning Platform in Grid Architecture 319 Fig. 4. A complex route selections Then by following the order Stage 0 Stage Stage2 Stage 3. we can look for the corresponding routes and add up to the count values before comparing both of the total count values of each routes at the same level and the maximum potential value of the next level. If both values are large it indicates that we have located the best route and do not have to continue. In the following example. 7 3 1 Step1 Vo V3 11 7 2 13 Step2 Vo 22 5 16 1 Step3 Vo V V 22 5 9 13 Step4 Vo V 27 When we realize that the fourth total count of 27 is higher than the Vo VL2 V3 22 at the same level and the maximum potential value of 3 10 13 26. At the next level we can be sure that the most popular route is Vo VL2 V2. V3 27. We have located the best route in the forth step. Now we can save the analysis result in the database for updating the web framework. Finally we add PHP commands to the web for regular reading of data and linkage in the database while updating web hyperlinks as a way to adjust the web framework. The following shows a fragment of PHP command p a href Firework1_url Firework1_name a p Here Firework1 _url stands for the website of a specific Web file name in the Web server such as . Firework1_name is a specific record in the database which stores the mining result. This kind of web updating used to be conducted manually by reading the data first ranking for instance before the administrator s manual updating of hyperlink. From now on all we have to do is trigger the automated updating system. The web will update its links by following the latest result of mining. Substitution of Web Usage Mining for web ranking will be more of an objective as Mining result stands for behavior of all browsers on the web not only ranking. 320 T. Chen 5 Conclusion and Future Works At present most E-Learning environment .
