Concept based Web Information Retrieval

Abstract

Information retrieval is concerned with documents relevant to a user's information needs from a collection of documents. The user describes information needs with a query which consists of a number of words. Finding weight of a query is important to determine importance of a query. Calculating term importance is fundamental aspect of most information retrieval approaches and it is commonly determined through Term Frequency-Inverse Document Frequency (TF-IDF).This paper proposed Concept-based Term Weighting (CBW) technique to determine the term importance by finding the weight of a query. WordNet ontology is used to find the conceptual information of each word in the query. General TermsTerm frequency (TF), Inverse Document Frequency (IDF), Vector Space Model, Extraction Algorithm.