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http://dx.doi.org/10.7842/kigas.2018.22.5.1

Necessity of Standardization and Standardized Method for Substances Accounting of Environmental Liability Insurance  

Park, Myeongnam (Department of Chemical Engineering, Myongji University)
Kim, Chang-wan (Department of Chemical Engineering, Myongji University)
Shin, Dongil (Department of Chemical Engineering, Myongji University)
Publication Information
Journal of the Korean Institute of Gas / v.22, no.5, 2018 , pp. 1-17 More about this Journal
Abstract
Related incidents and accidents are frequent after 2000 years, such as the outbreak of the Taian peninsula crude oil spillage and Gumi hydrofluoric acid leakage accident. In the wake of such environmental pollution accidents, Consensus has been formed to enact legislation on liability for the compensation of environmental pollution in 2014 and the rescue, and has been in force since January 2016. Therefore, in the domestic insurance industry, the introduced environmental liability insurance system needs to be managed through the standardization formula of a new insurance model for managing the environmental risk. This study has been carried out by the emergence of a safe insurance model with a risky nature of the risk type, which is one of the services of the knowledge base. The verification of the six assurance media on the occurrence of environmental pollution such as chemical, waste, marine, soil, etc. is expressed through semantic interoperability through this possible ontology. The insurance model was designed and presented by deducing the relationship between the amount of money and the amount of money that was written in the area of existing expertise, In order to exclude the possible consequences, the concept of abstract is conceptualized in the form of a customer, and a plan for the future development of an ontology-based decision support system is proposed to reduce the cost and resources consumed every year. It is expected that standardization of the verification standard of the mass of mass will minimize errors and reduce the time and resources required for verification.
Keywords
Ontology; Standardization; Knowledge Representation; Insurance; Environment Liability;
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