Title: Mining ontological knowledge using Nyaya framework

Authors: D. Judia Salome, Ranjani Parthasarathi

Addresses: Department of Computer Science and Engineering, Anna University, Chennai-25, Tamilnadu, India. ' Department of Computer Science and Engineering, Anna University, Chennai-25, Tamilnadu, India

Abstract: Ontology has become the buzzword of the knowledge and semantics community. The process of automatically constructing an ontology with completeness and reduced time has become the need of the hour. This paper presents the method for automatically constructing an ontology for any domain based on the Indian philosophical system, the Nyaya Sastra. Nyaya defines the whole world from atom to universe. This categorisation provided by Nyaya acts as the framework for extracting ontological relations from documents obtained from the web. With Nyaya and Natural Language Processing (NLP) techniques, an improved and enriched knowledge can be obtained from web documents. This paper explains the way of constructing an ontology (i.e., extracting taxonomical and nontaxonomical relations) using Nyaya in detail. The extracted knowledge includes concepts, relations and qualities pertaining to a concept. A Semi-Supervised Learning (SSL) technique for learning Nyaya categories is also explained.

Keywords: ontology; Nyaya Sastra; WordNet; semi-supervised learning; ontological knowledge; semantics; India; NLP; philosophy; natural language processing; taxonomies; web documents; taxonomical relations; nontaxonomical relations; concepts; categories; networks; virtual organisations; web based organisations; online organisations; open source intelligence; web mining; world wide web; internet.

DOI: 10.1504/IJNVO.2011.037164

International Journal of Networking and Virtual Organisations, 2011 Vol.8 No.1/2, pp.123 - 141

Published online: 30 Nov 2010 *

Full-text access for editors Access for subscribers Purchase this article Comment on this article