Using WordNet Glosses to Refine Google Queries

This paper describes one of the ways how to overcome one 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 in appropriate synonym category according to WordNet synsets. Some bootstrapping methods to refine the classification are proposed and some initial experiments are described.

• Type: Conference
• Year: 2006
• Where: DATESO
• Authors: Jan Nemrava
• Keywords: DATESO 2006, DATESO 2007, Relevant Synonym Category, Search Engine, Synonym Category