Automated Knowledge Provider System with Natural Language Query Processing

ABSTRACT

Knowledge management system (KMS) is an effective tool for knowledge extraction, utilization, and dissemination. When a client or user sends query to the KMS, it is expected to provide response to the query. This paper proposes an automated knowledge provider system (AKPS) that accepts a natural language request of a user in a query–response model where natural language query will be automatically converted to the conceptual form of database. This model is a grammatical rule-based automated model that can extract knowledge from knowledge database resident within the AKPS independently without any manual intervention. The model maps the natural language query into the physical data model, and sends response to the user from a well-organized and well-defined database.

KEYWORDS:

• E-R diagram
• knowledge provider
• natural language query
• query–response model

Acknowledgments

This research work has been done at Research Project Lab of National Institute of Technology (NIT), Durgapur, India. Financial support was received from Visvesvaraya PhD Scheme, Deity, Govt. of India (Order Number: PHD-MLA/4(29)/2014–2015 Dated- 27/4/2015) to carry out this research work. The authors would like to thank the Department of Information Technology, NIT, Durgapur, for academically supporting this research work.

Additional information

Funding

Department of Electronics and Information Technology, Ministry of Communications and Information Technology [Order no. PHD-MLA/4(29)/2014-15 dated 27/04/2015]

Notes on contributors

Prasenjit Mukherjee

Baisakhi Chakraborty received the PhD degree in computer science and engineering from the National Institute of Technology, Durgapur, India, in 2011. Her research interest includes knowledge systems, knowledge engineering and management, database systems, data mining, natural language processing, and software engineering. She has several research scholars under her guidance. She has more than 30 international publications. She has a decade of industrial and 14 years of academic experience.

E-mail: [email protected]

Baisakhi Chakraborty

Prasenjit Mukherjee received the MSc degree in information technology from Annamalai University, Tamil Nadu, India, in 2005. In 2011, he received the MTech degree in information technology from Karnataka State Open University (KSOU), Karnataka, India. He is presently a fulltime research scholar in information technology in the area of natural language processing from the National Institute of Technology (NIT), Durgapur, India, under the Visvesvaraya PhD Scheme.

E-mail: [email protected]