Work place: Veermata Jijabai Technological Institute, Mumbai, India
E-mail: directorvjti@vjti.org.in
Website:
Research Interests: Computer systems and computational processes, Image Compression, Image Processing, Analysis of Algorithms, Models of Computation
Biography
Dr. O. G. Kakde received Bachelor of Engineering degree in Electronics and Power Engineering from Visvesvaraya National Institute of Technology (formerly Visvesvaraya Regional College of Engineering), Nagpur, India and Master of Technology degree in Computer Science and Engineering from Indian Institute of Technology, Mumbai, India in 1986 and 1989 respectively. He received Ph.D. from Visvesvaraya National Institute of Technology, Nagpur, India in 2004. His research interest includes theory of computer science, language processor, image processing, and genetic algorithms. He is having over 25 years of teaching and research experience. He worked as Professor and Dean, Research and Development at Visvesvaraya National Institute of Technology, Nagpur, India. Presently he is working as Director at Veermata Jijabai Technical Institute, Mumbai, India. He is the author or co-author of more than thirty scientific publications in international journals, international conferences, and national conferences. He also authored five books on data structures, theory of computer science, and compilers. He is the life member of Institution of Engineers, India. He also worked as the reviewer for international and national journals, international conferences, and national conferences and seminars.
By Avinash J. Agrawal O. G. Kakde
DOI: https://doi.org/10.5815/ijisa.2013.12.07, Pub. Date: 8 Nov. 2013
This paper describes a method for semantic analysis of natural language queries for Natural Language Interface to Database (NLIDB) using domain ontology. Implementation of NLIDB for serious applications like railway inquiry, airway inquiry, corporate or government call centers requires higher precision. This can be achieved by increasing role of language knowledge and domain knowledge at semantic level. Also design of semantic analyzer should be such that it can easily be ported for other domains as well. In this paper a design of semantic analyzer for railway inquiry domain is reported. Intermediate result of the system is evaluated for a corpus of natural language queries collected from casual users who were not involved in the system design.
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