Reconstruction of ER Network from Specific Academic Texts for the Governance of MSW-NIMBY Crisis in China
Along with urban development globally, the NIMBY (Not-In-My-Backyard) crisis has been a complex social problem, which requires urgent remedial action. The inevitable management of Municipal Solid Waste (MSW) has been one of the toughest risk management tasks in the worldwide modernization process. A...
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| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
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Wiley
2021-01-01
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| Series: | Complexity |
| Online Access: | http://dx.doi.org/10.1155/2021/6699204 |
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| _version_ | 1832554554001981440 |
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| author | Qing Yang Hui Zhou Xingxing Liu Chen Zuo Jinmei Wang |
| author_facet | Qing Yang Hui Zhou Xingxing Liu Chen Zuo Jinmei Wang |
| author_sort | Qing Yang |
| collection | DOAJ |
| description | Along with urban development globally, the NIMBY (Not-In-My-Backyard) crisis has been a complex social problem, which requires urgent remedial action. The inevitable management of Municipal Solid Waste (MSW) has been one of the toughest risk management tasks in the worldwide modernization process. At present, certain fuzzy and unstructured results and methods have been formed for MSW-NIMBY crisis response, mainly focusing on the sociology and politics which scatter in complex and sensitive reports and news. Aiming at enhancing the effectiveness of data mining from specific sparse text of MSW-NIMBY crisis, an improved knowledge extraction method is developed. Through rule-based text mining and complex network analysis, the Entity Relationship (ER) network of MSW-NIMBY crisis is reconstructed. Meanwhile, a novel transitivity for relationship between entities in semantic analysis is proposed to improve the feasibility and accuracy of information extraction. Characteristics and regularity of MSW-NIMBY crisis evolution and experience of crisis governance could be identified effectively. Results show that knowledge integration and ER transitivity can enhance knowledge recognition and major other factors, which could help formulate the governance strategies of NIMBY crisis from academic texts. |
| format | Article |
| id | doaj-art-2ff8f91a5d2a4d789df076860ed68181 |
| institution | Kabale University |
| issn | 1076-2787 1099-0526 |
| language | English |
| publishDate | 2021-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | Complexity |
| spelling | doaj-art-2ff8f91a5d2a4d789df076860ed681812025-02-03T05:51:12ZengWileyComplexity1076-27871099-05262021-01-01202110.1155/2021/66992046699204Reconstruction of ER Network from Specific Academic Texts for the Governance of MSW-NIMBY Crisis in ChinaQing Yang0Hui Zhou1Xingxing Liu2Chen Zuo3Jinmei Wang4School of Safety Science and Emergency Management, Wuhan University of Technology, Wuhan 430070, Hubei, ChinaSchool of Management, Wuhan University of Technology, Wuhan 430070, Hubei, ChinaSchool of Safety Science and Emergency Management, Wuhan University of Technology, Wuhan 430070, Hubei, ChinaSchool of Management, Wuhan University of Technology, Wuhan 430070, Hubei, ChinaSchool of Management, Wuhan University of Technology, Wuhan 430070, Hubei, ChinaAlong with urban development globally, the NIMBY (Not-In-My-Backyard) crisis has been a complex social problem, which requires urgent remedial action. The inevitable management of Municipal Solid Waste (MSW) has been one of the toughest risk management tasks in the worldwide modernization process. At present, certain fuzzy and unstructured results and methods have been formed for MSW-NIMBY crisis response, mainly focusing on the sociology and politics which scatter in complex and sensitive reports and news. Aiming at enhancing the effectiveness of data mining from specific sparse text of MSW-NIMBY crisis, an improved knowledge extraction method is developed. Through rule-based text mining and complex network analysis, the Entity Relationship (ER) network of MSW-NIMBY crisis is reconstructed. Meanwhile, a novel transitivity for relationship between entities in semantic analysis is proposed to improve the feasibility and accuracy of information extraction. Characteristics and regularity of MSW-NIMBY crisis evolution and experience of crisis governance could be identified effectively. Results show that knowledge integration and ER transitivity can enhance knowledge recognition and major other factors, which could help formulate the governance strategies of NIMBY crisis from academic texts.http://dx.doi.org/10.1155/2021/6699204 |
| spellingShingle | Qing Yang Hui Zhou Xingxing Liu Chen Zuo Jinmei Wang Reconstruction of ER Network from Specific Academic Texts for the Governance of MSW-NIMBY Crisis in China Complexity |
| title | Reconstruction of ER Network from Specific Academic Texts for the Governance of MSW-NIMBY Crisis in China |
| title_full | Reconstruction of ER Network from Specific Academic Texts for the Governance of MSW-NIMBY Crisis in China |
| title_fullStr | Reconstruction of ER Network from Specific Academic Texts for the Governance of MSW-NIMBY Crisis in China |
| title_full_unstemmed | Reconstruction of ER Network from Specific Academic Texts for the Governance of MSW-NIMBY Crisis in China |
| title_short | Reconstruction of ER Network from Specific Academic Texts for the Governance of MSW-NIMBY Crisis in China |
| title_sort | reconstruction of er network from specific academic texts for the governance of msw nimby crisis in china |
| url | http://dx.doi.org/10.1155/2021/6699204 |
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