Title: Natural language processing for hybrid knowledge representation

Authors: Poonam Tanwar; T.V. Prasad; Kamlesh Dutta

Addresses: Department of CSE, Manav Rachna International University, Faridabad, Haryana, India; Computer Science and Engineering, Uttarakhand Technical University, Uttarakhand, India ' Chirala Engineering College, Chirala, 523157, Prakasam Dist., Andhra Pradesh, India ' Department of Computer Science and Engineering, National Institute of Technology, Hamirpur, 177005, Himachal Pradesh, India

Abstract: The excessive amount of knowledge increased the demand of tools for organising, processing and extracting the knowledge. To organise different types of the knowledge and to infer the knowledge intelligently is the biggest task in knowledge engineering (KE), natural language processing (NLP), information retrieval (IR) and knowledge management. The key factor for the development of this society/nation is the interactive access to information in current era. The source of information available in today's life is benefiting the people those who are familiar with the English language, but the biggest question is what about the generation who are not familiar with English not only in India but aboard too. One solution to this problem is graphical visualisation, easy and fast access to the information available through any source. This paper presents the system that provides the user-friendly interface for all the users (very good English, good English, not too good in English) for knowledge gathering, discovery and retrieval.

Keywords: knowledge representation; KR; natural language processing; NLP; semantic net; script; classification.

DOI: 10.1504/IJAIP.2018.090787

International Journal of Advanced Intelligence Paradigms, 2018 Vol.10 No.3, pp.223 - 235

Received: 22 Jul 2015
Accepted: 18 Nov 2015

Published online: 28 Mar 2018 *

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