Tuesday 23rd of April 2024
 

An Automatic Approximate Matching Technique Based on Phonetic Encoding for Odia Query


Rakesh Chandra Balbantray, Bibhuprasad Sahoo, Sanjaya Kumar Lenka, Deepak Kumar Sahoo and Monalisa Swain

In search engine query optimization plays the major role in order to give relevant result. The user query mostly contains name entities. Not only names but so many words are frequently used as search criteria for information retrieval and identity matching systems in Odia. The names have normally several variations. This variations and errors in names make the exact string matching problematic. If all the variations are approximately matched, then the result can be more relevant. In this paper we put forward an automatic approximate matching technique by which all the variations having similar phonetic code of the query word can be searched and gives the best result. Our algorithm is based on the phonetic encoding of the given query words which can give more relevant result of the desired search.

Keywords: Soundex, Query Optimization, Information extraction, search Engine, Index

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ABOUT THE AUTHORS

Rakesh Chandra Balbantray
Dr. Rakesh Chandra Balabantaray is currently working as Assistant Professor in the Department of Computer Science & Engineering and Principal Investigator of CLIA-II Project at IIIT, BHUBANESWAR, Odisha, India. He did his Masters in Computer Science in the year 2001 and Ph.D. in Computer Science in the year 2008 from Utkal University, Odisha, India. He was born in the year 1978. He has more than thirty publications in various reputed journals and conferences. His major area of research is Artificial Intelligence, Natural Language Processing & Information Retrieval.

Bibhuprasad Sahoo
Bibhuprasad Sahoo is a Research Project Fellow in CLIA-II Lab at IIIT- Bhubaneswar, Odisha India working in the project entitled “Cross Lingual Information Retrieval (CLIA-II)”. He has earned the ME degree in Computer Science and Engineering with Specialization in Knowledge Engineering (KE) from Utkal University, Odisha, India in 2011 and MSc in Computer Science from Ravenshaw Autonomous College, Cuttack, Odisha, India in 2005. He was working as a Junior Project Fellow at RC-ILTR, Utkal University in 2007-2009. His major area of research is Natural Language Processing & Information retrieval.

Sanjaya Kumar Lenka
Dr. Sanjaya Kumar Lenka working as Project Fellow in CLIA Lab at IIIT-Bhubaneswar gains degrees of MA and Phd in Linguistics from the Department of Linguistics at Banaras Hindu University and publishes and presents more than 10 research papers in international journals and conferences on the subject of Morphosyntax, Syntax, Morphology, Phonology and Computational Linguistics and currently, concentrates on WordNet of Odia and study of Lexical Semantic of Odia Language. He is awarded with gold medal for standing first in MA in Linguistics.

Deepak Kumar Sahoo
Deepak Kumar Sahoo earned his Master of Technology (MTech) Degree form International Institute of Information Technology, Bhubaneswar (IIIT-BH) in the year 2009. Worked as faculty in Dept. Of computer Science & Engg at Indic Institute of Design & Research a degree engineering collge. Currently working as a Research project fellow at International Institute of Information Technology, Bhubaneswar (IIIT-BH). Current Research interest Natural Language processing and Information Retrieval.

Monalisa Swain
Monalisa Swain earned his Master of Computer Application (MCA) degree from Biju Patnaik University of Technology In the year 2011. Currently, working as a Research Project Assistant at International Institute of Information Technology, Bhubaneswar (IIIT-BH). Current Research interest is Natural Language Processing and Information Retrieval.


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