Title :
DBIQS — An intelligent system for querying and mining databases using NLP
Author :
Agrawal, Rajeev ; Chakkarwar, Amogh ; Choudhary, Prateek ; Jogalekar, Usha A. ; Kulkarni, Deepa H.
Author_Institution :
Dept. of Comput. Eng., Pune Univ., Pune, India
Abstract :
Facts play a critical role in our lives. We have got radical ways to accumulate and store these facts as meaningful information. A database is an organized collection of facts and information stored in the form of data. A good organization has to maintain lots and lots of data. There are ultimate tools which can collect and store the huge data in its proper format in the main repository but still the users doesn´t get benefited from it up to its full potential. Retrieving meaningful information from such repositories requires an extensive knowledge of database languages like SQL. However, not everybody is able to write the complex SQL queries to extract the needful information. This intricate problem can be solved to a great extent by providing a Natural Language Interface to the users using which they can query a database in their own language. In this paper, we propose a Database Intelligent Querying System (DBIQS) which portrays completely automatic, simple, fast and reliable way to query a database.
Keywords :
SQL; data mining; natural language interfaces; natural language processing; query processing; DBIQS; NLP; complex SQL queries; database intelligent querying system; database languages; database mining; information retrieval; natural language interface; needful information extraction; Computers; Data mining; Database languages; Databases; Generators; Natural languages; Semantics; DBIQS; Data Mining; Data Warehousing; Database Management; Intelligent Querying System; NLIDB; Natural Language Processing; Query Generation; SQL;
Conference_Titel :
Information Systems and Computer Networks (ISCON), 2014 International Conference on
Conference_Location :
Mathura
Print_ISBN :
978-1-4799-2980-1
DOI :
10.1109/ICISCON.2014.6965215