Query Expansion using Semantic Network for Information Retrieval in Telugu Language
Neeraja Koppula1, B. Padmaja Rani2, Koppula Srinivas Rao3 

1Mrs. K. Neeraja, CSE, ML RIT, Hyderabad, India
2Dr. B. Padmaja Rani, CSE, JNTUH, Hyderabad, India.
3Dr. K. Srinivas Rao, CSE, MLRIT, Hyderabad, India.

Manuscript received on 11 March 2019 | Revised Manuscript received on 18 March 2019 | Manuscript published on 30 July 2019 | PP: 874-877 | Volume-8 Issue-2, July 2019 | Retrieval Number: B1586078219/19©BEIESP | DOI: 10.35940/ijrte.B1586.078219
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)

Abstract: Now-a-days digital documents are playing a major role in all the areas /web, as such all the information is digitalised. Queries are used by the search engines to retrieve the information. Query plays a major role in information retrieval system, as a result relevant and non relevant documents are retrieved. Query expansion techniques will better the performance of the information retrieval system. Our proposed query expansion technique is Word Sense Disambiguation. This is to find the correct sense of the ambiguous word in regional Telugu language. In Query expansion, if the added query term is an ambiguous word, accuracy of relevant documents will be very less. So to avoid this, proposed method Word Sense Disambiguation (WSD) is used, which is related to NLP Natural Language Processing and Artificial Intelligence AI. WSD improves the accuracy of information retrieval system.
Index Terms: Query Expansion (QE), Informational Retrieval System (IRS), ambiguous word, Word Sense Disambiguation (WSD), Natural Language Processing (NLP), Artificial Intelligence (AI), Telugu Language.

Scope of the Article:
Semantic Web