A fuzzy logic framework for web page filtering

Abstract

This work proposes a fuzzy logic framework suitable for web page filtering. Web page classifiers are trained off-line using the directory structure of the Open Directory Project (http://dmoz.org/) and are available to the user through an appropriate interface. These classifiers are considered as fuzzy membership functions which determine the membership degree of a web page to each class. The user selects a number of classes and formulates logical rules combining the classifiers. Fuzzy logic operators are used in order to filter the results of a query according to the specified rule providing different views (orderings) of the search results to the user.