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Conceptualization of Indian Biodiversity by Using Semantic Web Technologies

In: New Trends in Computational Vision and Bio-inspired Computing

Author

Listed:
  • Shama

    (National Institute of Technology)

  • Sarika Jain

    (National Institute of Technology)

Abstract

India is one of the mega bio-diverse countries in the world harboring noteworthy ecological wealth and has a huge scope of vegetation types. Biodiversity data, especially in the vegetation types, stays isolated and extensively scattered among heterogeneous information systems. Semantic web technologies in artificial intelligence field incorporate Ontologies are standard knowledge representation mechanisms which are based on description logic. Given the diversity in biological species and the related rich wealth of information, it is required to build an ontology capable of representing and sharing this information in an automated fashion. To adapt these challenges for enabling semantic interoperability of vegetation type data, this paper presents the initiative of developing Indian Biodiversity Ontology. The primary thought process behind this development is to facilitate the computational mechanisms in support of a comprehensive knowledge base for the conceptualization of Indian biodiversity data at one place.

Suggested Citation

  • Shama & Sarika Jain, 2020. "Conceptualization of Indian Biodiversity by Using Semantic Web Technologies," Springer Books, in: S. Smys & Abdullah M. Iliyasu & Robert Bestak & Fuqian Shi (ed.), New Trends in Computational Vision and Bio-inspired Computing, pages 1445-1453, Springer.
    • Handle: RePEc:spr:sprchp:978-3-030-41862-5_148
    DOI: 10.1007/978-3-030-41862-5_148
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