Title: MagnetOnto: modelling and evaluation of standardised domain ontologies for magnetic materials as a prospective domain
Authors: Lucky Donald Lyngdoh Kynshi; Gerard Deepak; A. Santhanavijayan
Addresses: Department of Physics, National Institute of Technology, Tiruchirappalli, India ' Department of Computer Science and Engineering, National Institute of Technology, Tiruchirappalli, India ' Department of Computer Science and Engineering, National Institute of Technology, Tiruchirappalli, India
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.
Keywords: antiferromagnetic; conceptual modelling; diamagnetic; dipole moment; domain ontologies; informatics physics; magnetisation.
International Journal of Intelligent Enterprise, 2021 Vol.8 No.4, pp.459 - 475
Received: 01 Feb 2020
Accepted: 01 Jul 2020
Published online: 28 Jul 2021 *