Systematic method for monitoring and early-warning of garden heritage ontology used in the Suzhou classical garden heritage
Taking garden heritage ontologies as the object, this paper explores monitoring and early-warning methods of heritage based on fuzzy cluster analysis. A monitoring and early-warning system for garden heritage ontologies is designed and consists of monitoring indexes, a monitoring program, monitoring...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
Vilnius Gediminas Technical University
2020-11-01
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| Series: | Journal of Environmental Engineering and Landscape Management |
| Subjects: | |
| Online Access: | https://journals.vgtu.lt/index.php/JEELM/article/view/13785 |
| _version_ | 1831657740801409024 |
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| author | Jie Zhao Rikun Wen Wen Mei |
| author_facet | Jie Zhao Rikun Wen Wen Mei |
| author_sort | Jie Zhao |
| collection | DOAJ |
| description | Taking garden heritage ontologies as the object, this paper explores monitoring and early-warning methods of heritage based on fuzzy cluster analysis. A monitoring and early-warning system for garden heritage ontologies is designed and consists of monitoring indexes, a monitoring program, monitoring data collection, application of an early-warning grading evaluation model and conclusion of early-warning grading. Taking the Suzhou classical garden heritage as an example, it can be concluded that the systematic method can integrate various qualitative and quantitative index values and collectively reflect the overall state of garden heritage ontologies as well as match a heritage monitoring ontology with an early warning grade by calculating the data similarity matrix, membership matrix, fuzzy similarity matrix, fuzzy equivalent matrix and cut matrix. Five kinds of heritage ontologies with a total of twenty-seven heritage monitoring indicators are applied in the model and then be matched with MATLAB software to obtain accurate early-warning results. When types of heritage ontology need to be expanded, the heritage is further refined, or the heritage is more comprehensive, this method is applicable. |
| first_indexed | 2024-12-19T17:33:38Z |
| format | Article |
| id | doaj.art-91e1fec85ea74fcaa959f397667876af |
| institution | Directory Open Access Journal |
| issn | 1648-6897 1822-4199 |
| language | English |
| last_indexed | 2024-12-19T17:33:38Z |
| publishDate | 2020-11-01 |
| publisher | Vilnius Gediminas Technical University |
| record_format | Article |
| series | Journal of Environmental Engineering and Landscape Management |
| spelling | doaj.art-91e1fec85ea74fcaa959f397667876af2022-12-21T20:12:24ZengVilnius Gediminas Technical UniversityJournal of Environmental Engineering and Landscape Management1648-68971822-41992020-11-0128410.3846/jeelm.2020.1378513785Systematic method for monitoring and early-warning of garden heritage ontology used in the Suzhou classical garden heritageJie Zhao0Rikun Wen1Wen Mei2School of Landscape Architecture, Zhejiang Agriculture and Forest University, Hangzhou, Zhejiang Province, PR of ChinaSchool of Landscape Architecture, Zhejiang Agriculture and Forest University, Hangzhou, Zhejiang Province, PR of ChinaSuzhou World Cultural Heritage Classical Garden Protection and Supervision Center, Suzhou, Jiangsu Province, PR of ChinaTaking garden heritage ontologies as the object, this paper explores monitoring and early-warning methods of heritage based on fuzzy cluster analysis. A monitoring and early-warning system for garden heritage ontologies is designed and consists of monitoring indexes, a monitoring program, monitoring data collection, application of an early-warning grading evaluation model and conclusion of early-warning grading. Taking the Suzhou classical garden heritage as an example, it can be concluded that the systematic method can integrate various qualitative and quantitative index values and collectively reflect the overall state of garden heritage ontologies as well as match a heritage monitoring ontology with an early warning grade by calculating the data similarity matrix, membership matrix, fuzzy similarity matrix, fuzzy equivalent matrix and cut matrix. Five kinds of heritage ontologies with a total of twenty-seven heritage monitoring indicators are applied in the model and then be matched with MATLAB software to obtain accurate early-warning results. When types of heritage ontology need to be expanded, the heritage is further refined, or the heritage is more comprehensive, this method is applicable.https://journals.vgtu.lt/index.php/JEELM/article/view/13785garden heritagemonitoring and early warningSuzhou classical gardenearly-warning gradationsystematic method |
| spellingShingle | Jie Zhao Rikun Wen Wen Mei Systematic method for monitoring and early-warning of garden heritage ontology used in the Suzhou classical garden heritage Journal of Environmental Engineering and Landscape Management garden heritage monitoring and early warning Suzhou classical garden early-warning gradation systematic method |
| title | Systematic method for monitoring and early-warning of garden heritage ontology used in the Suzhou classical garden heritage |
| title_full | Systematic method for monitoring and early-warning of garden heritage ontology used in the Suzhou classical garden heritage |
| title_fullStr | Systematic method for monitoring and early-warning of garden heritage ontology used in the Suzhou classical garden heritage |
| title_full_unstemmed | Systematic method for monitoring and early-warning of garden heritage ontology used in the Suzhou classical garden heritage |
| title_short | Systematic method for monitoring and early-warning of garden heritage ontology used in the Suzhou classical garden heritage |
| title_sort | systematic method for monitoring and early warning of garden heritage ontology used in the suzhou classical garden heritage |
| topic | garden heritage monitoring and early warning Suzhou classical garden early-warning gradation systematic method |
| url | https://journals.vgtu.lt/index.php/JEELM/article/view/13785 |
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