Efficient Information Retrieval for Ambiguous Words

Abstract: Information Retrieval is the task of representing, storing, organizing and offering access to information items. To retrieve required information from Word Wide Web, search engines performs number of activities. When user enters the query on to the interface of search engine he/she can get irrelevant documents if the search term contains ambiguous keywords. On web there exist numbers of ranking algorithm to retrieve relevant information. Most popular search engine Google uses Page Rank algorithm to retrieve the results. The results are arranged from higher to lower page rank values. This paper proposes an algorithm for efficient retrieval of information on the Web. It helps in word sense disambiguation and improves the performance of system. To prove the efficiency of our proposed algorithm we have applied two measures Mean Reciprocal Rank and Mean Average Precision.

Keywords: Ambiguity, Word Sense Disambiguation (WSD), Information Retrieval (IR), Web Mining, Data Mining.