Publication Date
2020
Journal or Book Title
International Journal of Environmental Research and Public Health
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.
DOI
https://doi.org/10.3390/ijerph17093312
Volume
17
Special Issue
Solid Waste Management among Rural Communities in Low- and Middle-Income Countries
Issue
9
License
UMass Amherst Open Access Policy
Creative Commons License
This work is licensed under a Creative Commons Attribution 4.0 License.
Recommended Citation
Yang, Qing; Zuo, Chen; Liu, Xingxing; Yang, Zhichao; and Zhou, Hui, "Risk Response for Municipal Solid Waste Crisis Using Ontology-Based Reasoning" (2020). International Journal of Environmental Research and Public Health. 1350.
https://doi.org/10.3390/ijerph17093312