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Published in

American Scientific Publishers, Journal of Computational and Theoretical Nanoscience, 1(17), p. 273-283, 2020

DOI: 10.1166/jctn.2020.8662

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OBDMR: An Ontology-Based Data Model for Railways

Journal article published in 2020 by Kumar Abhishek ORCID, M. P. Singh, Deepika Shukla, Sachin Gupta
Distributing this paper is prohibited by the publisher
Distributing this paper is prohibited by the publisher

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Abstract

The domain of the railway system is vast and complex since it includes several sub-domains hierarchy in it. These sub-domains include different branches of technology and operational hierarchy. Many types of research are running on and have happened in this vast domain along with different technologies. Among all available technologies ontology is the single one which talks about semantics and thus supports the decision support system. This paper proposes an OBDMR model for railway systems to integrate the information at the knowledge level. The paper has used railML (version 2.2) as a data resource as railML covers all the aspects of the railway system. railML (Railway Mark-up Language) is an open, XML-based data exchange format for data interoperability of railway application. The proposed ontology adds the semantics to the given data and even allows to infer new information from current data which XML cannot do. OBDMR is capable of taking decisions by automated reasoning using software agents. A generic model proposed in this paper satiates the standards and specifications of most countries’ railway systems. A use-case for Indian Railways is discussed with some examples.