Semi-automated Ontology Creation and Upgradation for Rail-Road Incidents: A Case of a Steel Plant in India
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Publisher
Springer Singapore
Link
https://link.springer.com/content/pdf/10.1007/978-981-15-9774-9_28
Reference22 articles.
1. A. Verma, S. Chatterjee, S. Sarkar, J. Maiti, Data-driven mapping between proactive and reactive measures of occupational safety performance, in Industrial Safety Management (Springer, Singapore,2018), pp. 53–63
2. K. Singh, N. Raj, S. Sahu, R. Behera, S. Sarkar, J. Maiti, Modelling safety of gantry crane operations using petri nets. Int. J. Inj. Control Saf. Promot. 24(1), 32–43 (2017)
3. S. Sarkar, A. Verma, J. Maiti, Prediction of occupational incidents using proactive and reactive data: a data mining approach, in Industrial Safety Management (Springer, Singapore, 2018), pp. 65–79
4. S. Sarkar, S. Baidya, J. Maiti, Application of rough set theory in accident analysis at work: a case study, in 2017 Third International Conference on Research in Computational Intelligence and Communication Networks (ICRCICN) (IEEE, 2017), pp. 245–250
5. P. Hughes, R. Robinson, M. Figueres-Esteban, C. Van Gulijk, Extracting safety information from multi-lingual accident reports using an ontology-based approach. Saf. Sci. 118, 288–297 (2019)
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