Community Governance Decision Based on Knowledge Map
The participation degree of community residents has become a yardstick to measure the community governance system and governance capacity in China. Since 2000, China has vigorously promoted community construction. The related research literature on community construction in China is also showing an...
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| Format: | Article |
| Language: | English |
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Wiley
2023-01-01
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| Series: | Advances in Multimedia |
| Online Access: | http://dx.doi.org/10.1155/2023/1895204 |
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| _version_ | 1849701374188584960 |
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| author | Xiaojuan Feng |
| author_facet | Xiaojuan Feng |
| author_sort | Xiaojuan Feng |
| collection | DOAJ |
| description | The participation degree of community residents has become a yardstick to measure the community governance system and governance capacity in China. Since 2000, China has vigorously promoted community construction. The related research literature on community construction in China is also showing an explosive growth trend. Knowledge map refers to the analysis of complex domain knowledge through data mining, information processing, knowledge measurement, chart drawing, etc., so as to achieve the purpose of understanding the dynamic development law of knowledge domain through diagrams. In the face of complex knowledge fields, we can use knowledge maps to combine various information to obtain relational networks and analyze problems from the perspective of “relationships.” Knowledge map is widely used in intelligent search, intelligent question and answer, and other fields. Using the intelligent decision support framework based on knowledge map can help us more clearly find the problems existing in the traditional decision support system and provide corresponding solutions. Combining big data, knowledge map, and other large-scale knowledge analysis and modeling technologies with decision support systems can strengthen the ability of problem analysis and processing and form a knowledge and relationship network. This paper provides direction and theoretical support for the research and development of community construction and governance in China in the future. |
| format | Article |
| id | doaj-art-1ccb80c5c48d483283a0f77a5e21cd7c |
| institution | DOAJ |
| issn | 1687-5699 |
| language | English |
| publishDate | 2023-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | Advances in Multimedia |
| spelling | doaj-art-1ccb80c5c48d483283a0f77a5e21cd7c2025-08-20T03:17:58ZengWileyAdvances in Multimedia1687-56992023-01-01202310.1155/2023/1895204Community Governance Decision Based on Knowledge MapXiaojuan Feng0Humanities and Law CollegeThe participation degree of community residents has become a yardstick to measure the community governance system and governance capacity in China. Since 2000, China has vigorously promoted community construction. The related research literature on community construction in China is also showing an explosive growth trend. Knowledge map refers to the analysis of complex domain knowledge through data mining, information processing, knowledge measurement, chart drawing, etc., so as to achieve the purpose of understanding the dynamic development law of knowledge domain through diagrams. In the face of complex knowledge fields, we can use knowledge maps to combine various information to obtain relational networks and analyze problems from the perspective of “relationships.” Knowledge map is widely used in intelligent search, intelligent question and answer, and other fields. Using the intelligent decision support framework based on knowledge map can help us more clearly find the problems existing in the traditional decision support system and provide corresponding solutions. Combining big data, knowledge map, and other large-scale knowledge analysis and modeling technologies with decision support systems can strengthen the ability of problem analysis and processing and form a knowledge and relationship network. This paper provides direction and theoretical support for the research and development of community construction and governance in China in the future.http://dx.doi.org/10.1155/2023/1895204 |
| spellingShingle | Xiaojuan Feng Community Governance Decision Based on Knowledge Map Advances in Multimedia |
| title | Community Governance Decision Based on Knowledge Map |
| title_full | Community Governance Decision Based on Knowledge Map |
| title_fullStr | Community Governance Decision Based on Knowledge Map |
| title_full_unstemmed | Community Governance Decision Based on Knowledge Map |
| title_short | Community Governance Decision Based on Knowledge Map |
| title_sort | community governance decision based on knowledge map |
| url | http://dx.doi.org/10.1155/2023/1895204 |
| work_keys_str_mv | AT xiaojuanfeng communitygovernancedecisionbasedonknowledgemap |