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

Qing Yang^1,2, Chen Zuo², Xingxing Liu¹

¹School of Safety Science and Emergency Management, School of Management, Wuhan University of Technology, Wuhan 430070, China.

International Journal of Environmental Research and Public Health

|May 14, 2020

Summary

This study introduces an ontology-based reasoning system for municipal solid waste (MSW) risk response. It enhances intelligent decision-making by integrating crisis information and using rule reasoning for risk transformation.

Keywords:

municipal solid waste ontology risk response rule reasoning transformation

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Area of Science:

Environmental Science
Computer Science
Information Science

Background:

Municipal solid waste (MSW) poses significant environmental and public safety risks globally.
Current risk response strategies for MSW require innovative approaches.

Purpose of the Study:

To develop an ontology-based reasoning system for municipal solid waste (MSW) risk response.
To improve the intelligent decision-making process for MSW crisis management.

Main Methods:

Utilized semantic web ontology and Semantic Web Rule Language (SWRL).
Integrated crisis information and case resources related to MSW.
Constructed a rule reasoning system for risk transformation.

Main Results:

Enabled effective knowledge extraction and integration of MSW risk response.
Excavated semantic correlations of crisis information and key transformation points.
Demonstrated improved intelligent decision-making through rule reasoning.

Conclusions:

The developed system enhances the intelligent decision-making capabilities for MSW risk response.
Ontology-based rule reasoning is effective in managing MSW-related crises.