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Shu Wang, Xueying Zhang, Peng Ye, Mi Du, Yanxu Lu and Haonan Xue
Formalized knowledge representation is the foundation of Big Data computing, mining and visualization. Current knowledge representations regard information as items linked to relevant objects or concepts by tree or graph structures. However, geographic k...
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Maria Luisa Villani, Sonia Giovinazzi and Antonio Costanzo
Natural hazards are increasingly threatening our communities; hence it is imperative to provide communities with reliable information on possible impacts of such disasters, and on resilience measures that can be adopted to recover from disasters. To incr...
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Zongcai Huang, Peiyuan Qiu, Li Yu and Feng Lu
Geographic relation completion contributes greatly to improving the quality of large-scale geographic knowledge graphs (GeoKGs). However, the internal features of a GeoKG used in large-scale GeoKGs embedding are often limited by the weak connectivity bet...
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Miao Tian, Xinxin Hu, Jiakai Huang, Kai Ma, Haiyan Li, Shuai Zheng, Liufeng Tao and Qinjun Qiu
The growing proliferation of geographic information presents a substantial challenge to the traditional framework of a geographic information analysis and service. The dynamic integration and representation of geographic knowledge, such as triples, with ...
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Zhi-Wei Hou, Cheng-Zhi Qin, A-Xing Zhu, Peng Liang, Yi-Jie Wang and Yun-Qiang Zhu
One of the key concerns in geographic modeling is the preparation of input data that are sufficient and appropriate for models. This requires considerable time, effort, and expertise since geographic models and their application contexts are complex and ...
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Na?Taki Osborne Jelks, Timothy L. Hawthorne, Dajun Dai, Christina H. Fuller and Christine Stauber
We utilized a participatory mapping approach to collect point locations, photographs, and descriptive data about select built environment stressors identified and prioritized by community residents living in the Proctor Creek Watershed, a degraded, urban...
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Lin Zhu, Xiangfu Meng and Zehui Mi
With the emergence of a large number of fuzzy spatiotemporal data on the Web, how to represent and operate fuzzy spatiotemporal data has become an important research issue. Meanwhile, the Resource Description Framework (RDF) is a standard data and knowle...
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Tao Sun, Hui Xia, Lin Li, Hang Shen and Yu Liu
OpenStreetMap (OSM) is a representative volunteered geographic information (VGI) project. However, there have been difficulties in retrieving spatial information from OSM. Ontology is an effective knowledge organization and representation method that is ...
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Xinjie Zhao, Shiyun Wang and Hao Wang
This study aims to give an insight into the development trends and patterns of social organizations (SOs) in China from the perspective of network science integrating geography and public policy information embedded in the network structure. Firstly, we ...
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Martin Breunig, Patrick Erik Bradley, Markus Jahn, Paul Kuper, Nima Mazroob, Norbert Rösch, Mulhim Al-Doori, Emmanuel Stefanakis and Mojgan Jadidi
Without geospatial data management, today?s challenges in big data applications such as earth observation, geographic information system/building information modeling (GIS/BIM) integration, and 3D/4D city planning cannot be solved. Furthermore, geospatia...
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