InBiodiv-O: An Ontology for Biodiversity Knowledge Management

Archana Patel, Sarika Jain, Narayan C. Debnath and Vishal Lama
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Archana Patel: Eastern International University, Vietnam
Sarika Jain: National Institute of Technology, Kurukshetra, India
Narayan C. Debnath: Eastern International University, Vietnam
Vishal Lama: Amdocs Development Centre India LLP, India

International Journal of Information System Modeling and Design (IJISMD), 2022, vol. 13, issue 7, 1-18

Abstract: To present the biodiversity information, a semantic model is required that connects all kinds of data about living creatures and their habitats. The model must be able to encode human knowledge for machines to be understood. Ontology offers the richest machine-interpretable semantics that are being extensively used in the biodiversity domain. Various ontologies are developed for the biodiversity domain; however, these ontologies are not capable to define the Indian biodiversity information though India is one of the megadiverse countries. To semantically analyze the Indian biodiversity information, it is crucial to build an ontology that describes all the terms of this domain. Since the curation of the ontology depends on the domain where these are used, there is no ideal methodology defined yet. The aim of this article is to develop an ontology that semantically encodes all the terms of Indian biodiversity information in all its dimensions based on the proposed methodology. The evaluation of the proposed ontology depicts that ontology is well built in the specified domain.

Date: 2022
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