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Concept based Web Information Retrieval

Jyotsna Gharat, Jayant Gadge Published in Information Sciences

International Journal of Applied Information Systems
Year of Publication 2012
© 2010 by IJAIS Journal
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  1. Jyotsna Gharat and Jayant Gadge. Article: Concept based Web Information Retrieval. International Journal of Applied Information Systems 4(5):25-29, October 2012. BibTeX

    	author = "Jyotsna Gharat and Jayant Gadge",
    	title = "Article: Concept based Web Information Retrieval",
    	journal = "International Journal of Applied Information Systems",
    	year = 2012,
    	volume = 4,
    	number = 5,
    	pages = "25-29",
    	month = "October",
    	note = "Published by Foundation of Computer Science, New York, USA"


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.


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Information Retrieval (IR), Part of Speech (POS), WordNet, Ontology, Concept-Based Term Weighting (CBW)