Geospatial IoT-The Need for Event-Driven Architectures in Contemporary Spatial Data Infrastructures

被引:24
作者
Rieke, Matthes [1 ]
Bigagli, Lorenzo [2 ]
Herle, Stefan [3 ,4 ]
Jirka, Simon [1 ]
Kotsev, Alexander [5 ]
Liebig, Thomas [6 ]
Malewski, Christian [7 ]
Paschke, Thomas [8 ]
Stasch, Christoph [1 ]
机构
[1] 52 North GmbH, D-48155 Munster, Germany
[2] Natl Res Council Italy, Inst Atmospher Pollut Res, I-50019 Florence, Italy
[3] Rhein Westfal TH Aachen, Geodet Inst, D-52074 Aachen, Germany
[4] Rhein Westfal TH Aachen, Chair Comp Civil Engn & GIS, D-52074 Aachen, Germany
[5] European Commiss, Digital Econ Unit, Joint Res Ctr, I-21027 Ispra, Italy
[6] TU Dortmund Univ, Artificial Intelligence Grp, D-44221 Dortmund, Germany
[7] Wupperverband, D-42289 Wuppertal, Germany
[8] Esri Deutschland GmbH, D-85402 Kranzberg, Germany
基金
欧盟地平线“2020”;
关键词
event-driven architectures; asynchronous transactions; sensor web; spatiotemporal data; real-time data; stream processing; spatial data infrastructures; sensor networks; WEB;
D O I
10.3390/ijgi7100385
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
The nature of contemporary spatial data infrastructures lies in the provision of geospatial information in an on-demand fashion. Although recent applications identified the need to react to real-time information in a time-critical way, research efforts in the field of geospatial Internet of Things in particular have identified substantial gaps in this context, ranging from a lack of standardisation for event-based architectures to the meaningful handling of real-time information as "events". This manuscript presents work in the field of event-driven architectures as part of spatial data infrastructures with a particular focus on sensor networks and the devices capturing in-situ measurements. The current landscape of spatial data infrastructures is outlined and used as the basis for identifying existing gaps that retain certain geospatial applications from using real-time information. We present a selection of approaches-developed in different research projects-to overcome these gaps. Being designed for specific application domains, these approaches share commonalities as well as orthogonal solutions and can build the foundation of an overall event-driven spatial data infrastructure.
引用
收藏
页数:29
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