Semi-Automated Ontology building through Natural Language Processing

Jaytrilok Choudhary; Deepak Singh Tomar

doi:10.24297/ijct.v13i8.7072

Authors

Jaytrilok Choudhary MANIT Bhopal(M.P.), India, 462003
Deepak Singh Tomar MANIT Bhopal(M.P.), India, 462003

DOI:

https://doi.org/10.24297/ijct.v13i8.7072

Keywords:

Ontology, Parsing, Knowledge representation, Ontology building

Abstract

Ontology is a backbone of semantic web which is used for domain knowledge representation. Ontology provides the platform for effective extraction of information. Usually, ontology is developed manually, but the manual ontology construction requires lots of efforts by domain experts. It is also time consuming and costly. Thus, an approach to build ontology in semi-automated manner has been proposed. The proposed approach extracts concept automatically from open directory Dmoz. The Stanford Parser is explored to parse natural language syntax and extract the parts of speech which are used to form the relationship among the concepts. The experimental result shows a fair degree of accuracy which may be improved in future with more sophisticated approach.

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