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 |
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Rok vydání: | 2021 |
Předmět: | |
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 |
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