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Triple Indexing: An Efficient Technique for Fast Phrase Query Evaluation

by Shashank Gugnani, Rajendra Kumar Roul
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 87 - Number 13
Year of Publication: 2014
Authors: Shashank Gugnani, Rajendra Kumar Roul
10.5120/15266-3970

Shashank Gugnani, Rajendra Kumar Roul . Triple Indexing: An Efficient Technique for Fast Phrase Query Evaluation. International Journal of Computer Applications. 87, 13 ( February 2014), 9-13. DOI=10.5120/15266-3970

@article{ 10.5120/15266-3970,
author = { Shashank Gugnani, Rajendra Kumar Roul },
title = { Triple Indexing: An Efficient Technique for Fast Phrase Query Evaluation },
journal = { International Journal of Computer Applications },
issue_date = { February 2014 },
volume = { 87 },
number = { 13 },
month = { February },
year = { 2014 },
issn = { 0975-8887 },
pages = { 9-13 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume87/number13/15266-3970/ },
doi = { 10.5120/15266-3970 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T22:05:48.038595+05:30
%A Shashank Gugnani
%A Rajendra Kumar Roul
%T Triple Indexing: An Efficient Technique for Fast Phrase Query Evaluation
%J International Journal of Computer Applications
%@ 0975-8887
%V 87
%N 13
%P 9-13
%D 2014
%I Foundation of Computer Science (FCS), NY, USA
Abstract

Phrase query evaluation is an important task of every search engine. Optimizing the query evaluation time for phrase queries is the biggest threat for the current search engine. Usually, phrase queries are a hassle for standard indexing techniques. This is generally because, merging the posting lists and checking the word ordering takes a lot of time. This paper proposes a new technique called Triple Indexing to index web documents which optimizes query evaluation time for phrase queries by reducing the time for merging the posting lists and checking the word ordering. In addition, a proper procedure has been put forward for document ranking using an extended vector space model. The 4 Universities dataset and Industry Sector dataset of Carnegie Mellon University has been used for experimental purpose and it has been found that using the proposed method with a modern machine, the query time for phrase queries is reduced by almost 50 percent, compared to a standard inverted index.

References
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Index Terms

Computer Science
Information Sciences

Keywords

Triple Index Inverted Index Query Optimization Phrase Queries Vector Space Model

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