Using WordNet Glosses to Refine Google Queries

This paper describes one of the ways how to overcome some of the major limitations of current fulltext search engines. It deals with synonymy of the web search engine results by clustering them into relevant synonym category of given word. It employs WordNet lexical database and several linguistic approaches to classify results in search engine result page (SERP) in appropriate synonym category according to WordNet synsets. Some methods to refine the classification are proposed and some initial experiments and results are described and discussed.