Dynamic Vs Static Term-Expansion using Semantic Resources in Information Retrieval

Dynamic Vs Static Term-Expansion using Semantic Resources in Information Retrieval

Ramakrishna kolikipogu B.Tech-Computer Science and Information Technology M.Tech-Computer Science with Software Engineering Ph.D - Computer Science and Engineering (About to Complete)

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Padmaja Rani B

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α Jawaharlal Nehru Technological University, Hyderabad

Dynamic Vs Static Term-Expansion using Semantic Resources in Information Retrieval

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Abstract

Information Retrieval in a Telugu language is upcoming area of research. Telugu is one of the recognized Indian languages. We present a novel approach in reformulating item terms at the time of crawling and indexing. The idea is not new, but use of synset and other lexical resources in Indian languages context has limitations due to unavailability of language resources. We prepared a synset for 1,43,001 root words out of 4,83,670 unique words from training corpus of 3500 documents during indexing. Index time document expansion gave improved recall ratio, when compared to base line approach i.e. simple information retrieval without term expansion at both the ends. We studied the effect of query terms expansion at search time using synset and compared with simple information retrieval process without expansion, recall is greatly affected and improved. We further extended this work by expanding terms in two sides and plotted results, which resemble recall growth. Surprisingly all expansions are showing improvement in recall and little fall in precision. We argue that expansion of terms at any level may cause inverse effect on precision. Necessary care is required while expanding documents or queries with help of language resources like Synset, WordNet and other resources.

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Funding

No external funding was declared for this work.

Conflict of Interest

The authors declare no conflict of interest.

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No ethics committee approval was required for this article type.

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How to Cite This Article

Ramakrishna kolikipogu. 2013. \u201cDynamic Vs Static Term-Expansion using Semantic Resources in Information Retrieval\u201d. Global Journal of Computer Science and Technology - C: Software & Data Engineering GJCST-C Volume 13 (GJCST Volume 13 Issue C4): .

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GJCST Volume 13 Issue C4
Pg. 25- 31

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Journal Specifications

Crossref Journal DOI 10.17406/gjcst

Print ISSN 0975-4350

e-ISSN 0975-4172

Keywords

document expansion indexing information retrieval information retrieval in indian languages query expansion semantics

Submission ReceivedDecember 14, 2012
Peer Review Double Blind
Handling Editor
Accepted January 4, 2013
Published January 15, 2013

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May 2, 2013

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Total Score: 102

Country: Unknown

Subject: Global Journal of Computer Science and Technology - C: Software & Data Engineering

Authors: Ramakrishna kolikipogu, Padmaja Rani B (PhD/Dr. count: 0)

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