Open Access
Open access
Springer Nature
Lecture Notes in Electrical Engineering
,  pages 61-69

QueryAssist: Multimodal Verbal Specifications to Structured Query Conversion Model Using Word Vector-Based Semantic Analysis

Surya Venkat Boddu 1
, 
Rahul Aditya Butta 1
, 
Geethan Sannidhi 1
, 
Midhun Varma Yerakaraju 1
1
 
Publication type: Book Chapter
Publication date: 2025-02-13
Springer Nature
scimago Q4
SJR: 0.143
CiteScore: 0.7
Impact factor: —
ISSN: 18761100, 18761119
Abstract
QueryAssist is a model designed to enhance communication with databases by transforming Telugu natural language queries, both text and speech, into SQL queries. Built for government schools of the Telugu-speaking states in India, this model utilizes Word Vectors for semantic analysis, ensuring accurate query generation. QueryAssist acts as an intuitive interface to interact with SQL databases, by addressing challenges faced by schools in accessing and utilizing data. Its standout features are its ability to comprehend Telugu queries and its error handling and refinement system. Through extensive experiments, QueryAssist has proven its effectiveness in transforming natural language queries into SQL commands. The model’s architecture, results, and its potential to improve the quality of decision-making processes within government schools are presented in this paper.
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Boddu S. V. et al. QueryAssist: Multimodal Verbal Specifications to Structured Query Conversion Model Using Word Vector-Based Semantic Analysis // Lecture Notes in Electrical Engineering. 2025. pp. 61-69.
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Boddu S. V., Butta R. A., Sannidhi G., Yerakaraju M. V. QueryAssist: Multimodal Verbal Specifications to Structured Query Conversion Model Using Word Vector-Based Semantic Analysis // Lecture Notes in Electrical Engineering. 2025. pp. 61-69.
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TY - GENERIC
DO - 10.1007/978-981-97-8193-5_6
UR - https://link.springer.com/10.1007/978-981-97-8193-5_6
TI - QueryAssist: Multimodal Verbal Specifications to Structured Query Conversion Model Using Word Vector-Based Semantic Analysis
T2 - Lecture Notes in Electrical Engineering
AU - Boddu, Surya Venkat
AU - Butta, Rahul Aditya
AU - Sannidhi, Geethan
AU - Yerakaraju, Midhun Varma
PY - 2025
DA - 2025/02/13
PB - Springer Nature
SP - 61-69
SN - 1876-1100
SN - 1876-1119
ER -
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@incollection{2025_Boddu,
author = {Surya Venkat Boddu and Rahul Aditya Butta and Geethan Sannidhi and Midhun Varma Yerakaraju},
title = {QueryAssist: Multimodal Verbal Specifications to Structured Query Conversion Model Using Word Vector-Based Semantic Analysis},
publisher = {Springer Nature},
year = {2025},
pages = {61--69},
month = {feb}
}