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Stream/Area:
-
Subject:
-
Paper ID:
IJSREM40897
Volume:
9 |
1 |
Jan 2025
Pages:
Publication Frequency:
Monthly (12 issues per year)
License:International Journal of Scientific Research in Engineering and Management follows the Creative Commons Attribution 4.0 (CC BY 4.0) License, allowing free use and distribution with proper attribution.
The rapid evolution of data-driven decision-making has highlighted the need for systems capable of seamlessly bridging the gap between natural human language and structured query languages like SQL. Traditional database systems often demand a technical understanding of SQL syntax and database schemas, creating significant barriers for non-technical users. To address this challenge, the “Database Query and Reasoning” project introduces an intelligent system designed to interpret natural language inputs, convert them into accurate SQL queries, and deliver both query results and explanatory reasoning for the outputs. This approach empowers users, regardless of technical expertise, to interact with complex databases effectively and derive actionable insights.
KEYWORDS
Publication Date
1/21/2025
Peer Review Type
Double-Blind Peer Review
Review Rounds: 2
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Conflict of Interest
The authors declare no conflict of interest related to this research work.
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