Construction and application of a multilevel geohazard domain ontology: A case study of landslide geohazards
The occurrence of geohazards entails sudden, unpredictable, and cascading effects, with numerous conceptual frameworks and intricate spatiotemporal relationships existing between hazard events. Presently, the absence of a unified mechanism for describing and expressing geohazard knowledge poses subs...
| Main Authors: | , , , , , , |
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| Format: | Article |
| Language: | English |
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Elsevier
2023-12-01
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| Series: | Applied Computing and Geosciences |
| Subjects: | |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S259019742300023X |
| _version_ | 1797385065951395840 |
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| author | Min Wen Qinjun Qiu Shiyu Zheng Kai Ma Shuai Zheng Zhong Xie Liufeng Tao |
| author_facet | Min Wen Qinjun Qiu Shiyu Zheng Kai Ma Shuai Zheng Zhong Xie Liufeng Tao |
| author_sort | Min Wen |
| collection | DOAJ |
| description | The occurrence of geohazards entails sudden, unpredictable, and cascading effects, with numerous conceptual frameworks and intricate spatiotemporal relationships existing between hazard events. Presently, the absence of a unified mechanism for describing and expressing geohazard knowledge poses substantial challenges in terms of sharing and reusing domain-specific knowledge pertaining to geohazards. Therefore, it is imperative to address the issue of constructing a cohesive descriptive model that facilitates the sharing and reuse of geohazard knowledge. In this study, we propose a multilayered ontology construction method tailored specifically for the domain of landslide geological hazards. By comparing existing methods, we establish a hierarchical structure and expression framework for the geological hazard ontology. Notably, our approach seamlessly integrates the conceptual and semantic layers in the relationship description at each level, enabling association representation of hazard data across multiple tiers. We define essential concepts and attributes related to landslide geological hazards, along with their respective interrelationships. To achieve effective knowledge sharing and reuse, we model the ontology of the landslide geological disaster domain using the Web Ontology Language (OWL). This modeling approach serves as a powerful tool that facilitates the sharing and reuse of disaster-related knowledge. Finally, we verify the method's validity and reliability by employing illustrative case studies. The results demonstrate that the proposed approach imposes an affordable workload on human resources. Additionally, the foundational domain ontology significantly enhances information retrieval performance, thereby yielding satisfactory outcomes. |
| first_indexed | 2024-03-08T21:48:45Z |
| format | Article |
| id | doaj.art-19eef739eeb14cbfa8833b6029c42f80 |
| institution | Directory Open Access Journal |
| issn | 2590-1974 |
| language | English |
| last_indexed | 2024-03-08T21:48:45Z |
| publishDate | 2023-12-01 |
| publisher | Elsevier |
| record_format | Article |
| series | Applied Computing and Geosciences |
| spelling | doaj.art-19eef739eeb14cbfa8833b6029c42f802023-12-20T07:36:37ZengElsevierApplied Computing and Geosciences2590-19742023-12-0120100134Construction and application of a multilevel geohazard domain ontology: A case study of landslide geohazardsMin Wen0Qinjun Qiu1Shiyu Zheng2Kai Ma3Shuai Zheng4Zhong Xie5Liufeng Tao6National Engineering Research Center for Geographic Information System, Wuhan, 430074, ChinaSchool of Computer Science, China University of Geosciences, Wuhan, 430074, China; Key Laboratory of Urban Land Resources Monitoring and Simulation, Ministry of Natural Resources, Shenzhen, 518000, China; Key Laboratory of Geological Survey and Evaluation of Ministry of Education, China University of Geosciences, Wuhan, 430074, China; Corresponding author. School of Computer Science, China University of Geosciences, Wuhan, 430074, China.School of Computer Science, China University of Geosciences, Wuhan, 430074, ChinaHubei Key Laboratory of Intelligent Vision Based Monitoring for Hydroelectric Engineering, China Three Gorges University, Yichang, 443002, Hubei, China; College of Computer and Information Technology, China Three Gorges University, Yichang, 443002, ChinaHubei Key Laboratory of Intelligent Vision Based Monitoring for Hydroelectric Engineering, China Three Gorges University, Yichang, 443002, Hubei, China; College of Computer and Information Technology, China Three Gorges University, Yichang, 443002, ChinaSchool of Computer Science, China University of Geosciences, Wuhan, 430074, ChinaSchool of Computer Science, China University of Geosciences, Wuhan, 430074, ChinaThe occurrence of geohazards entails sudden, unpredictable, and cascading effects, with numerous conceptual frameworks and intricate spatiotemporal relationships existing between hazard events. Presently, the absence of a unified mechanism for describing and expressing geohazard knowledge poses substantial challenges in terms of sharing and reusing domain-specific knowledge pertaining to geohazards. Therefore, it is imperative to address the issue of constructing a cohesive descriptive model that facilitates the sharing and reuse of geohazard knowledge. In this study, we propose a multilayered ontology construction method tailored specifically for the domain of landslide geological hazards. By comparing existing methods, we establish a hierarchical structure and expression framework for the geological hazard ontology. Notably, our approach seamlessly integrates the conceptual and semantic layers in the relationship description at each level, enabling association representation of hazard data across multiple tiers. We define essential concepts and attributes related to landslide geological hazards, along with their respective interrelationships. To achieve effective knowledge sharing and reuse, we model the ontology of the landslide geological disaster domain using the Web Ontology Language (OWL). This modeling approach serves as a powerful tool that facilitates the sharing and reuse of disaster-related knowledge. Finally, we verify the method's validity and reliability by employing illustrative case studies. The results demonstrate that the proposed approach imposes an affordable workload on human resources. Additionally, the foundational domain ontology significantly enhances information retrieval performance, thereby yielding satisfactory outcomes.http://www.sciencedirect.com/science/article/pii/S259019742300023XGeological hazard ontologyLandslide geohazardUnified description modelInformation retrieval |
| spellingShingle | Min Wen Qinjun Qiu Shiyu Zheng Kai Ma Shuai Zheng Zhong Xie Liufeng Tao Construction and application of a multilevel geohazard domain ontology: A case study of landslide geohazards Applied Computing and Geosciences Geological hazard ontology Landslide geohazard Unified description model Information retrieval |
| title | Construction and application of a multilevel geohazard domain ontology: A case study of landslide geohazards |
| title_full | Construction and application of a multilevel geohazard domain ontology: A case study of landslide geohazards |
| title_fullStr | Construction and application of a multilevel geohazard domain ontology: A case study of landslide geohazards |
| title_full_unstemmed | Construction and application of a multilevel geohazard domain ontology: A case study of landslide geohazards |
| title_short | Construction and application of a multilevel geohazard domain ontology: A case study of landslide geohazards |
| title_sort | construction and application of a multilevel geohazard domain ontology a case study of landslide geohazards |
| topic | Geological hazard ontology Landslide geohazard Unified description model Information retrieval |
| url | http://www.sciencedirect.com/science/article/pii/S259019742300023X |
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