Hierachical Fuzzy Set-based Deep Web Source Classification

摘要

This paper presents a classification method of data source using fuzzy set and probabilistic model. The words of each domain are classified into characteristic words and general words according to their contribution to the current domain. The fuzzy set is introduced into the simplification process of characteristic words and the common words as the normalized glossary tool, which can be able to find more precise glossary in the homepage text. And a vocabulary probabilistic model is build after the normalized process in various domains, these words are classified by calculating the distance between the data source form vector and each domain vector.