دورية أكاديمية
GeoGraphVis: A Knowledge Graph and Geovisualization Empowered Cyberinfrastructure to Support Disaster Response and Humanitarian Aid
| العنوان: | GeoGraphVis: A Knowledge Graph and Geovisualization Empowered Cyberinfrastructure to Support Disaster Response and Humanitarian Aid |
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| المؤلفون: | Wenwen Li, Sizhe Wang, Xiao Chen, Yuanyuan Tian, Zhining Gu, Anna Lopez-Carr, Andrew Schroeder, Kitty Currier, Mark Schildhauer, Rui Zhu |
| المصدر: | ISPRS International Journal of Geo-Information, Vol 12, Iss 3, p 112 (2023) |
| بيانات النشر: | MDPI AG, 2023. |
| سنة النشر: | 2023 |
| المجموعة: | LCC:Geography (General) |
| مصطلحات موضوعية: | knowledge graph, visualization, cyberinfrastructure, semantics, visual analytics, humanitarian aid, Geography (General), G1-922 |
| الوصف: | The past decade has witnessed an increasing frequency and intensity of disasters, from extreme weather, drought, and wildfires to hurricanes, floods, and wars. Providing timely disaster response and humanitarian aid to these events is a critical topic for decision makers and relief experts in order to mitigate impacts and save lives. When a disaster occurs, it is important to acquire first-hand, real-time information about the potentially affected area, its infrastructure, and its people in order to develop situational awareness and plan a response to address the health needs of the affected population. This requires rapid assembly of multi-source geospatial data that need to be organized and visualized in a way to support disaster-relief efforts. In this paper, we introduce a new cyberinfrastructure solution—GeoGraphVis—that is empowered by knowledge graph technology and advanced visualization to enable intelligent decision making and problem solving. There are three innovative features of this solution. First, a location-aware knowledge graph is created to link and integrate cross-domain data to make the graph analytics-ready. Second, expert-driven disaster response workflows are analyzed and modeled as machine-understandable decision paths to guide knowledge exploration via the graph. Third, a scene-based visualization strategy is developed to enable interactive and heuristic visual analytics to better comprehend disaster impact situations and develop action plans for humanitarian aid. |
| نوع الوثيقة: | article |
| وصف الملف: | electronic resource |
| اللغة: | English |
| تدمد: | 12030112 2220-9964 |
| العلاقة: | https://www.mdpi.com/2220-9964/12/3/112Test; https://doaj.org/toc/2220-9964Test |
| DOI: | 10.3390/ijgi12030112 |
| الوصول الحر: | https://doaj.org/article/ed4a161bd7ff4e7a9cb8ab643c13718eTest |
| رقم الانضمام: | edsdoj.4a161bd7ff4e7a9cb8ab643c13718e |
| قاعدة البيانات: | Directory of Open Access Journals |
Full Text Finder | تدمد: | 12030112 22209964 |
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| DOI: | 10.3390/ijgi12030112 |