Identifying and ranking possible semantic and common usage categories of search engine queries

Abstract

In this paper, we propose a method for identifying and ranking possible categories of any user query based on the meanings and common usages of the terms and phrases within the query. Our solution utilizes WordNet and Wikipedia to recognize phrases and to determine the basic meanings and usages of each term or phrase in a query. The categories are ranked based on their likelihood in capturing the query's intention. Experimental results show that our method can achieve high accuracy. © 2010 Springer-Verlag Berlin Heidelberg.