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MagnetOnto: modelling and evaluation of standardised domain ontologies for magnetic materials as a prospective domain

Author

Listed:
  • Lucky Donald Lyngdoh Kynshi
  • Gerard Deepak
  • A. Santhanavijayan

Abstract

Ontologies are information processing entities that are used for modelling, representing, and reasoning domain knowledge owing to the complexity in the relationship between different terms within a domain, there needs to be a logic in which they are pragmatically related. Ontology modelling is the best strategy to represent conceptual and domain-specific knowledge which makes it feasible for information systems to understand and interpret the relationship between various terms. In this paper, a detailed investigation of magnetic materials as a domain is carried out and the relationship between terms in the domain is represented as machine-interpretable ontological entities. A detailed OWL ontological model that comprises 123 classes with six distinct levels has been proposed. A detailed qualitative analysis using a semiotic approach using several parameters and quantitative analysis has been carried out. MagnetOnto is strictly a concept-oriented ontology with minimum deviations from the parent domain. An overall reuse ratio of 95.1% has been achieved by MagnetOnto, which makes this a best-in-class and also the first ontology to model magnetic materials.

Suggested Citation

  • Lucky Donald Lyngdoh Kynshi & Gerard Deepak & A. Santhanavijayan, 2021. "MagnetOnto: modelling and evaluation of standardised domain ontologies for magnetic materials as a prospective domain," International Journal of Intelligent Enterprise, Inderscience Enterprises Ltd, vol. 8(4), pages 459-475.
    • Handle: RePEc:ids:ijient:v:8:y:2021:i:4:p:459-475
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