International Journal of Current Microbiology and Applied Sciences (IJCMAS)
IJCMAS is now DOI (CrossRef) registered Research Journal. The DOIs are assigned to all published IJCMAS Articles.
Index Copernicus ICI Journals Master List 2022 - IJCMAS--ICV 2022: 95.28 For more details click here
National Academy of Agricultural Sciences (NAAS) : NAAS Score: *5.38 (2020) [Effective from January 1, 2020] For more details click here

Login as a Reviewer

See Guidelines to Authors
Current Issues
Download Publication Certificate

Original Research Articles                      Volume : 7, Issue:9, September, 2018

PRINT ISSN : 2319-7692
Online ISSN : 2319-7706
Issues : 12 per year
Publisher : Excellent Publishers
Email : /
Editor-in-chief: Dr.M.Prakash
Index Copernicus ICV 2018: 95.39
NAAS RATING 2020: 5.38

Int.J.Curr.Microbiol.App.Sci.2018.7(9): 975-985

Building Soil Taxonomy Ontology by the Way of Connective Based Ontology Learning
Chandan Kumar Deb1, Madhurima Das2 and Sudeep Marwaha1
1Indian Agricultural Statistics Research Institute, New Delhi-110012, India
2Indian Agricultural Research Institute, New Delhi-110012, India
*Corresponding author

Ontology is one of the most popular knowledge representation techniques. Ontology based knowledgebase system is very well structured. Building of knowledgebase manually is a quite cumbersome process. This knowledge acquisition bottle neck can be overcome by making the ontology building process automated. Accordingly, the ontology learning came into the scene. In ontology learning, the natural text is taken as an input and building of the ontology is done. One of its drawbacks is that taking input from natural text to ontology development several limitations are being encountered. In this research work, we have taken two aspects of ontology building. We have firstly inducted taxonomy and secondly extracted the property of the taxonomy automatically from the semi structured text. For demonstration purpose, we have taken USDA soil taxonomy; in which we run our algorithm in a single chapter ‘Alfisol’ and got a very significant result. This novel method of ontology building process based on connectives facilitate us the minimal use of corpus thus waiving of its tediousness.

Keywords: Ontology, Ontology learning, Connectives, Soil ontology

Download this article as Download

How to cite this article:

Chandan Kumar Deb, Madhurima Das and Sudeep Marwaha. 2018. Building Soil Taxonomy Ontology by the Way of Connective Based Ontology Learning.Int.J.Curr.Microbiol.App.Sci. 7(9): 975-985. doi:
Copyright: This is an Open Access article distributed under the terms of the Creative Commons Attribution-NonCommercial-ShareAlike license.