Query Knowledge Enhancement in Information Storage and Retrieval System by using Term Correlation

  Dharmendra Sharma,  Dr. Harish Nagar

the main focus of this paper is the query knowledge enhancement scheme for information storage and retrieval system to improve the recall by using term correlation. In information storage and retrieval system instead of searching query term if we search query term with its related term then the recall value improved. Our hypothesis is that a meaning of a term generally decided by its related term for example the meaning of query containing the term “apple fruit” is well describe by its related term as “banana”, “health”, “vitamin”, “eat” etc. Thus instead of searching the term “apple fruit” if we search “apple fruit” with its related term then recall value improved. In this work we have calculate the term correlation between all query terms and terms exist in document set. We rank the term by their correlation values. The combination of top five terms with query terms are used to retrieve the document. From the result we have seen that by using the query term with its related term the recall value is improved by 20 percent.

Keywords- query, recall, information storage and retrieval syste, term, hyponymy, lexeme.

Unique Identification Number - IJEDR1601104
Page Number(s) - 609-612
Pubished in - Volume 4 | Issue 1 | March 2016
DOI (Digital Object Identifier) -   
Publisher - IJEDR (ISSN - 2321-9939)

  Dharmendra Sharma,  Dr. Harish Nagar,   "Query Knowledge Enhancement in Information Storage and Retrieval System by using Term Correlation", International Journal of Engineering Development and Research (IJEDR), ISSN:2321-9939, Volume.4, Issue 1, pp.609-612, March 2016, Available at :http://www.ijedr.org/papers/IJEDR1601104.pdf