Recall Improvement in Information Storage and Retrieval System by Enhancing Query Knowledge

Authors

  • Dharmendra Sharma  Department of Computer Science and Engineering, Mewar University, Chittorgarh, Rajasthan, India
  • Dr. Suresh Jain  Department of Computer Science and Engineering, Mewar University, Chittorgarh, Rajasthan, India

Keywords:

query, recall, information storage and retrieval system, lexeme, hyponymy

Abstract

The main focus of this paper is the query knowledge improvement scheme for information storage and retrieval system to improve the recall. In information storage and retrieval system instead of searching query lexeme if we search query lexeme with its related lexeme then the recall value improved. Our hypothesis is that a meaning of a lexeme generally decided by its related lexeme for example the meaning of query containing the lexeme “apple phone” is well describe by its related lexeme as “audio”, “video”, “iphone”, “ ipad” etc. Thus instead of searching the lexeme “apple phone” if we search “apple phone” with its related lexeme like “audio”, “video”, “ipad”, “iphone” then recall value improved. From the result we have seen that by using the query lexeme with its related lexeme the recall value is improved by 28 percent.

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International Journal of Scientific Research in Science, Engineering and Technology

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Published

2015-08-25

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Volume 1, Issue 4, July-August-2015

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Research Articles

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How to Cite

[1]
Dharmendra Sharma, Dr. Suresh Jain, " Recall Improvement in Information Storage and Retrieval System by Enhancing Query Knowledge, International Journal of Scientific Research in Science, Engineering and Technology(IJSRSET), Print ISSN : 2395-1990, Online ISSN : 2394-4099, Volume 1, Issue 4, pp.149-152, July-August-2015.