@article{(Open Science Index):https://publications.waset.org/pdf/8679, title = {Using a Semantic Self-Organising Web Page-Ranking Mechanism for Public Administration and Education}, author = {Marios Poulos and Sozon Papavlasopoulos and V. S. Belesiotis}, country = {}, institution = {}, abstract = {In the proposed method for Web page-ranking, a novel theoretic model is introduced and tested by examples of order relationships among IP addresses. Ranking is induced using a convexity feature, which is learned according to these examples using a self-organizing procedure. We consider the problem of selforganizing learning from IP data to be represented by a semi-random convex polygon procedure, in which the vertices correspond to IP addresses. Based on recent developments in our regularization theory for convex polygons and corresponding Euclidean distance based methods for classification, we develop an algorithmic framework for learning ranking functions based on a Computational Geometric Theory. We show that our algorithm is generic, and present experimental results explaining the potential of our approach. In addition, we explain the generality of our approach by showing its possible use as a visualization tool for data obtained from diverse domains, such as Public Administration and Education.}, journal = {International Journal of Industrial and Manufacturing Engineering}, volume = {4}, number = {3}, year = {2010}, pages = {197 - 201}, ee = {https://publications.waset.org/pdf/8679}, url = {https://publications.waset.org/vol/39}, bibsource = {https://publications.waset.org/}, issn = {eISSN: 1307-6892}, publisher = {World Academy of Science, Engineering and Technology}, index = {Open Science Index 39, 2010}, }