Extended Semantic based Boolean Information Retrieval Algorithm for User-driven Query

Abstract

Information Retrieval (IR) is essentially a matter of deciding which documents within a large collection satisfies a user's information need. Those documents are called relevant documents and the documents that are not of the topic specified by the user are said to be non-relevant. An existing SBIR algorithm uses lexical database, WordNet to find synonyms of single-word query term considering that the absence of the given term in a document does not necessarily mean that the document is not a relevant.In this paper, a new algorithm is proposed which works with compound terms and uses modified Porter Stemming Algorithm to solve some stemming errors found in Porter Stemmer Algorithm proposed by M. F. Porter. This will improve the recall as more relevant documents will be retrieved. We propose to involve a user in the search process through interactive feedback for word senses. This will further improve recall by retrieving more user relevant results.