Research Article

An Application of Statistical indexing for Searching and Ranking of documents ñ A Case Study on Telugu Script

by  N.V. Ganapathi Raju, Bhavya Sukavasi, Sai Rama Krishna Chava, Vidya Rani Vadisala
journal cover
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 28 - Issue 3
Published: August 2011
Authors: N.V. Ganapathi Raju, Bhavya Sukavasi, Sai Rama Krishna Chava, Vidya Rani Vadisala
10.5120/3368-4651
PDF

N.V. Ganapathi Raju, Bhavya Sukavasi, Sai Rama Krishna Chava, Vidya Rani Vadisala . An Application of Statistical indexing for Searching and Ranking of documents ñ A Case Study on Telugu Script. International Journal of Computer Applications. 28, 3 (August 2011), 22-27. DOI=10.5120/3368-4651

                        @article{ 10.5120/3368-4651,
                        author  = { N.V. Ganapathi Raju,Bhavya Sukavasi,Sai Rama Krishna Chava,Vidya Rani Vadisala },
                        title   = { An Application of Statistical indexing for Searching and Ranking of documents ñ A Case Study on Telugu Script },
                        journal = { International Journal of Computer Applications },
                        year    = { 2011 },
                        volume  = { 28 },
                        number  = { 3 },
                        pages   = { 22-27 },
                        doi     = { 10.5120/3368-4651 },
                        publisher = { Foundation of Computer Science (FCS), NY, USA }
                        }
                        %0 Journal Article
                        %D 2011
                        %A N.V. Ganapathi Raju
                        %A Bhavya Sukavasi
                        %A Sai Rama Krishna Chava
                        %A Vidya Rani Vadisala
                        %T An Application of Statistical indexing for Searching and Ranking of documents ñ A Case Study on Telugu Script%T 
                        %J International Journal of Computer Applications
                        %V 28
                        %N 3
                        %P 22-27
                        %R 10.5120/3368-4651
                        %I Foundation of Computer Science (FCS), NY, USA
Abstract

The lack of proper indexing and ranking techniques for Telugu documents motivated us for implementation of this work. The results provide a way to analyze efficiency of algorithms used for indexing and ranking. This paper summarizes the Automatic Term Weighting and Inverted File Structure approaches for Telugu documents and provides baseline of single term indexing to develop more elaborate techniques like content based analysis.

References
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  • Williams B. Frakes and Ricardo Baeza- Yates, ‚Äú Information Retrieval: Data Structures & Algorithms‚Äù
  • Glenda Browne, Jon Jermey. ‚ÄúThe indexing companion.‚Äù
  • Ricardo Baeza-Yates and Berthier Ribeiro-Neto. ‚ÄúModern Information Retrieval‚Äù
Index Terms
Computer Science
Information Sciences
No index terms available.
Keywords

Statistical indexing Ranking Inverted File Structure Stemming Telugu Documents Term weighting

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