Design and Implementation of a Geographic Scenario Computation System Based on Knowledge Base Article Swipe
Yun‐Long Feng
,
Changfeng Jing
,
Jianing Li
,
Tong Liang
·
YOU?
·
· 2024
· Open Access
·
· DOI: https://doi.org/10.5194/isprs-archives-xlviii-4-2024-177-2024
YOU?
·
· 2024
· Open Access
·
· DOI: https://doi.org/10.5194/isprs-archives-xlviii-4-2024-177-2024
The promotion and expansion of Geographic Information System (GIS) applications have increased the complexity of geocomputation. The concept of a geographic scene, which encompasses both geographic entities and complex spatial interaction relationships, serves as a means of organizing and expressing geographic information. Existing methods of organizing and computing geographic scenes often focus on single geometric elements or single-category objects, neglecting the complexity of the geocomputation process and leading to biased results. To address this issue, this study designs and implements a geographic scenario computation system based on WebGIS to overcome the lack of integration of knowledge elements in traditional geographic scenario computation methods. The system consists of a data management module, a geographic scenario visualization module, and a geographic scenario computation module. It not only realizes the visualization of geographic scenarios but also introduces a knowledge base into the geographic scenario computation process, enabling accurate management of geographic scenarios. This paper uses a farmland scenario in Shandong Province, China, as a case study to verify the effectiveness and feasibility of the system. The application of this system provides new technical support for the computation process of geographic scenarios, promoting the refinement and intelligent development of geographic scenario management. This method can also be applied to similar applications of intelligent sensors and the Internet of Things in the organization and management of sensing information in the future.
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- article
- Language
- en
- Landing Page
- https://doi.org/10.5194/isprs-archives-xlviii-4-2024-177-2024
- OA Status
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- 10
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All OpenAlex metadata
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- DOI
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https://doi.org/10.5194/isprs-archives-xlviii-4-2024-177-2024Digital Object Identifier
- Title
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Design and Implementation of a Geographic Scenario Computation System Based on Knowledge BaseWork title
- Type
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articleOpenAlex work type
- Language
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enPrimary language
- Publication year
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2024Year of publication
- Publication date
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2024-10-21Full publication date if available
- Authors
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Yun‐Long Feng, Changfeng Jing, Jianing Li, Tong LiangList of authors in order
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https://doi.org/10.5194/isprs-archives-xlviii-4-2024-177-2024Publisher landing page
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YesWhether a free full text is available
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diamondOpen access status per OpenAlex
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https://doi.org/10.5194/isprs-archives-xlviii-4-2024-177-2024Direct OA link when available
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Computer science, Base (topology), Knowledge base, Computation, Data science, Artificial intelligence, Algorithm, Mathematics, Mathematical analysisTop concepts (fields/topics) attached by OpenAlex
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0Total citation count in OpenAlex
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10Other works algorithmically related by OpenAlex
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| abstract_inverted_index.scenario | 83, 101, 114, 120, 141, 155, 197 |
| abstract_inverted_index.Abstract. | 0 |
| abstract_inverted_index.Province, | 158 |
| abstract_inverted_index.computing | 48 |
| abstract_inverted_index.expansion | 4 |
| abstract_inverted_index.geometric | 55 |
| abstract_inverted_index.increased | 12 |
| abstract_inverted_index.knowledge | 96, 136 |
| abstract_inverted_index.promoting | 189 |
| abstract_inverted_index.promotion | 2 |
| abstract_inverted_index.scenarios | 131 |
| abstract_inverted_index.technical | 180 |
| abstract_inverted_index.Geographic | 6 |
| abstract_inverted_index.complexity | 14, 62 |
| abstract_inverted_index.expressing | 40 |
| abstract_inverted_index.geographic | 21, 26, 41, 49, 82, 100, 113, 119, 130, 140, 148, 187, 196 |
| abstract_inverted_index.implements | 80 |
| abstract_inverted_index.introduces | 134 |
| abstract_inverted_index.management | 110, 146, 220 |
| abstract_inverted_index.neglecting | 60 |
| abstract_inverted_index.organizing | 38, 46 |
| abstract_inverted_index.refinement | 191 |
| abstract_inverted_index.scenarios, | 188 |
| abstract_inverted_index.scenarios. | 149 |
| abstract_inverted_index.Information | 7 |
| abstract_inverted_index.application | 174 |
| abstract_inverted_index.computation | 84, 102, 121, 142, 184 |
| abstract_inverted_index.development | 194 |
| abstract_inverted_index.encompasses | 24 |
| abstract_inverted_index.feasibility | 169 |
| abstract_inverted_index.information | 223 |
| abstract_inverted_index.integration | 94 |
| abstract_inverted_index.intelligent | 193, 209 |
| abstract_inverted_index.interaction | 31 |
| abstract_inverted_index.management. | 198 |
| abstract_inverted_index.traditional | 99 |
| abstract_inverted_index.applications | 10, 207 |
| abstract_inverted_index.information. | 42 |
| abstract_inverted_index.organization | 218 |
| abstract_inverted_index.effectiveness | 167 |
| abstract_inverted_index.visualization | 115, 128 |
| abstract_inverted_index.geocomputation | 65 |
| abstract_inverted_index.relationships, | 32 |
| abstract_inverted_index.geocomputation. | 16 |
| abstract_inverted_index.single-category | 58 |
| cited_by_percentile_year | |
| countries_distinct_count | 1 |
| institutions_distinct_count | 4 |
| citation_normalized_percentile.value | 0.19943611 |
| citation_normalized_percentile.is_in_top_1_percent | False |
| citation_normalized_percentile.is_in_top_10_percent | False |