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The aim of this paper is to emphasize the role of tagging and folksonomies in information retrieval in Web 2.0. Also, this paper justifies the existence of tagging and folksonomies for better information retrieval in Web 2.0. In recent years, Web 2.0 has become popular due to increased collaborations over the internet. Folksonomies are the characteristics of Web 2.0, which are user generated tagging services. Literature shows that folksonomies greatly enhance information retrieval in Web 2.0. In this paper we study the role of tagging and folksonomies in social information retrieval, types of folksonomies in various sites. Also, this paper summarizes the experiment carried out on social bookmarking site Dogear, to show that tagging is an effective way to retrieve the information on web-based applications. The relation between the users, tagged documents and tags has been summarized in this paper. Even though tagging plays a major role in enhancing information retrieval, literature shows uncontrolled vocabulary hinders the potential of tagging process. Motivation: The concept of tagging and folksonomies doesn't exist yet in a fast growing professional networking site LinkedIn. In this paper we propose a concept of tagging and folksonomy for LinkedIn to perform information retrieval efficiently.