Risk Response for Municipal Solid Waste Crisis Using Ontology-Based Reasoning

Qing Yang, Chen Zuo, Xingxing Liu, Zhichao Yang and Hui Zhou
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Qing Yang: School of Safety Science and Emergency Management, School of Management, Wuhan University of Technology, Wuhan 430070, China
Chen Zuo: School of Management, Wuhan University of Technology, Wuhan 430070, China
Xingxing Liu: School of Safety Science and Emergency Management, School of Management, Wuhan University of Technology, Wuhan 430070, China
Zhichao Yang: College of Information and Computer Sciences, University of Massachusetts Amherst, Amherst 01002, MA, USA
Hui Zhou: School of Management, Wuhan University of Technology, Wuhan 430070, China

IJERPH, 2020, vol. 17, issue 9, 1-23

Abstract: Many cities in the world are besieged by municipal solid waste (MSW). MSW not only pollutes the ecological environment but can even induce a series of public safety crises. Risk response for MSW needs novel changes. This paper innovatively adopts the ideas and methods of semantic web ontology to build an ontology-based reasoning system for MSW risk response. Through the integration of crisis information and case resources in the field of MSW, combined with the reasoning ability of Semantic Web Rule Language (SWRL), a system of rule reasoning for risk transformation is constructed. Knowledge extraction and integration of MSW risk response can effectively excavate semantic correlation of crisis information along with key transformation points in the process of crisis evolution through rule reasoning. The results show that rule reasoning of transformation can effectively improve intelligent decision-making regarding MSW risk response.

Keywords: risk response; municipal solid waste; ontology; transformation; rule reasoning (search for similar items in EconPapers)
JEL-codes: I I1 I3 Q Q5 (search for similar items in EconPapers)
Date: 2020
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (1)

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