An intelligent system for transforming natural language queries into SQL and its execution

Autor:	Swati Kale, Tanay Totade, Piyush Mahatkar, Ruhit Ratnaparkhi, Vinay Gahse, Nakul Dhawale
Rok vydání:	2021
Předmět:	History SQL Computer science Programming language computer.software_genre computer Natural language Computer Science Applications Education computer.programming_language
Zdroj:	Journal of Physics: Conference Series. 1913:012146
ISSN:	1742-6596 1742-6588
Popis:	In today’s world information storing and retrieval plays an important role. Database systems play a key role in the new commercial system for information storage. For accessing the data from database, a person who is not having the knowledge of SQL may find themselves handicapped while dealing with the database. This presents a significant limitation in a developing country such as India, because even today, a very large majority of the population does not have the technical knowledge of how to deal with database systems. In such a case, Natural language processing (NLP) assumes a significant job. NLP is getting perhaps the most dynamic strategies utilized in Human-PC Interaction. It is a part of AI which is utilized for Information Retrieval, Machine interpretation, and Language Analysis. This paper, proposes a system which allows the user to query the database in a compatible mode language, through a convenient Graphical User Interface which results in the data required by the user.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::8261af0c9160123c1336f5dd278168da https://doi.org/10.1088/1742-6596/1913/1/012146 Zobrazit plný text záznamu