Abstract
Interface to Database is basically a system which is designed on the basis of Natural Languages. These type of Interfaces to Database form a stepping stone in the fields of Intelligence, Medical Science, Database Mining, Search Engines etc. The paper proposes a system namely an Advanced Web-based bilingual Domain Independent Interface to Database using Machine Learning approach that takes punjabi and hindi language as the input. Some of the main features that have been incorporated into the developed system are domain independency, bilingual approach and a user friendly web interface. Also important features such as acceptance of queries with spelling mistakes, multiword keywords along with other functions like the auto complete function have been introduced. Hence the main objective is to make the system more user friendly, efficient along with increasing its scope without compromising on complexity.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
W. A. Woods, R. M. Kaplan, and B. N. Webber: The Lunar Sciences Natural Language Information System: Final Report. In: BBN Report 2378, Bolt Beranek and Newman Inc., Cambridge, Massachusetts, 1972.
P. Resnik: Access to Multiple Underlying Systems in JANUS. In: BBN report 7142, Bolt Beranek and Newman Inc., Cambridge, Massachusetts, 1989.
Mohit Dua, Shivani Jindal, Rajender Kumar: An Architectural Overview of Natural Language Interface to Knowledge Base. In: International Conference on Computation of Power, Energy, Information and Communication, pp. 437–441, IEEE (2014).
Khalid, M.A., Jijkoun, V., de Rijke, M.: Machine Learning for Question Answering from Tabular Data. In: 18th International Workshop on Database and Expert Systems Applications, pp. 392–396, DEXA (2007).
W. S. Luk, S. Kloster: ELFS: English language from SQL. In: ACM transactions on database systems, Vol. 11, No. 4, pp. 447–472, December (1986).
Miguel Llopis, Antonio Ferrandez: How to make a Natural Language Interface to Query Databases Accessible to Everyone: An Example. In: Computer Standards & Interfaces, vol. 35, no. 5, pp. 470–481, (2013).
R. Kumar, M. Dua, S. Jindal: Domain-Independent Hindi Language Interface to Relational Database. In: International Conference on Computation of Power, Energy, Information and Communication, pp. 81–86, IEEE (2014).
Stanford Parser, http://nlp.stanford.edu/software/index.shtml.
Hindi Shallow Parser, http://ltrc.iiit.ac.in/analyzer/hindi/.
Gongde Gou et al.: KNN Model-Based Approach in Classification. In: Lecture Notes in Computer Science, pp. 986–996, Springer (2003).
R. Mott: Maximum Likelihood Estimation of the Statistical Distribution of Smith-Waterman Local Sequence Similarity Scores. In: Bulletin of Mathematical Biology, pp. 59–75, Springer (1992).
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2017 Springer Nature Singapore Pte Ltd.
About this paper
Cite this paper
Virk, Z., Dua, M. (2017). An Advanced Web-Based Bilingual Domain Independent Interface to Database Using Machine Learning Approach. In: Modi, N., Verma, P., Trivedi, B. (eds) Proceedings of International Conference on Communication and Networks. Advances in Intelligent Systems and Computing, vol 508. Springer, Singapore. https://doi.org/10.1007/978-981-10-2750-5_60
Download citation
DOI: https://doi.org/10.1007/978-981-10-2750-5_60
Published:
Publisher Name: Springer, Singapore
Print ISBN: 978-981-10-2749-9
Online ISBN: 978-981-10-2750-5
eBook Packages: EngineeringEngineering (R0)