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Journal of Emerging Trends in Computing and Information Sciences >> Call for Papers Vol. 8 No. 3, March 2017

Journal of Emerging Trends in Computing and Information Sciences

ESBIR: Extended Semantic Based Information Retrieval Algorithm using Synonyms and Antonyms

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Author R. Thamarai Selvi, Dr. E. George Dharma Prakash Raj
ISSN 2079-8407
On Pages 198-202
Volume No. 6
Issue No. 4
Issue Date May 1, 2015
Publishing Date May 1, 2015
Keywords Information Retrieval, Semantic, Word Net, Antonyms, Precision, Recall


Information Retrieval can be defined as the activity of obtaining information or data relevant to information needs from a collection of information resources. In general, resources are available in huge, vast and unstructured data formats. From the available resources, only a part or some is wanted by the users. Documents that satisfy the given query in the judgment of the user are said to be relevant. The documents that are not belonging to the given topic are said to be non-relevant. An IR engine uses the query to classify the documents in a given collection and returns a subset of documents that satisfy some classification criterion to the user. Sometimes the relevant documents may not contain the keywords specified in the query. The lack of the given term in a document does not necessarily mean that the document is not relevant because more than one term can be semantically similar although they are lexicographically different. In this paper a new algorithm, Extended Semantic Based Boolean Information Retrieval using Synonyms and Antonyms (ESBIR), is proposed to retrieve the documents with semantically similar terms to enhance the performance of Information Retrieval System by improving the recall and precision.

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