Open AccessQuery Expansion using Semantic Network for Information Retrieval in Telugu Language
Author(s) -
Mrs. K. Neeraja,
B. Padmaja Rani,
K. Srinivas Rao
Publication year - 2019
Publication title -
international journal of recent technology and engineering
Language(s) - English
Resource type - Journals
ISSN - 2277-3878
DOI - 10.35940/ijrte.b1586.078219
Subject(s) - computer science , query expansion , information retrieval , telugu , natural language processing , query language , artificial intelligence , concept search , word (group theory) , search engine , web search query , linguistics , philosophy
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.