International Journal of Computational Linguistics Research Imen Akermi, Rim Faiz 3 4 2012 http://www.dline.info/jcl/fulltext/v3n4/1.pdf Semantic similarity between words is fundamental to various fields such as Cognitive Science, Artificial Intelligence, Natural Language Processing and Information Retrieval. According to Baeza-Yates and Neto [2] an Information Retrieval system “should provide the user with easy access to the information in which he is interested”. Therefore, in this domain, relying on a robust semantic similarity measure is crucial for automatic query suggestion and expansion process. In this same context, we propose a method that uses on one hand, an online English dictionary provided by the Semantic Atlas project of the French National Centre for Scientific Research (CNRS) and on the other hand, a page counts based metric returned by a social website.