TY - GEN
T1 - Smart cities intelligence system (SMACiSYS) integrating sensor web with spatial data infrastructures (SENSDI)
AU - Bhattacharya, D.
AU - Painho, M.
N1 - Funding Information:
D. Bhattacharya has been funded by the European Commission through the GEO-C project (H2020-MSCA-ITN-2014, Grant Agreement number 642332, http://www.geo-c.eu/). The authors are thankful to anonymous reviewers for their constructive comments that helped improve the paper.
Publisher Copyright:
© 2017 Authors.
PY - 2017/9/25
Y1 - 2017/9/25
N2 - The paper endeavours to enhance the Sensor Web with crucial geospatial analysis capabilities through integration with Spatial Data Infrastructure. The objective is development of automated smart cities intelligence system (SMACiSYS) with sensor-web access (SENSDI) utilizing geomatics for sustainable societies. There has been a need to develop automated integrated system to categorize events and issue information that reaches users directly. At present, no web-enabled information system exists which can disseminate messages after events evaluation in real time. Research work formalizes a notion of an integrated, independent, generalized, and automated geo-event analysing system making use of geo-spatial data under popular usage platform. Integrating Sensor Web With Spatial Data Infrastructures (SENSDI) aims to extend SDIs with sensor web enablement, converging geospatial and built infrastructure, and implement test cases with sensor data and SDI. The other benefit, conversely, is the expansion of spatial data infrastructure to utilize sensor web, dynamically and in real time for smart applications that smarter cities demand nowadays. Hence, SENSDI augments existing smart cities platforms utilizing sensor web and spatial information achieved by coupling pairs of otherwise disjoint interfaces and APIs formulated by Open Geospatial Consortium (OGC) keeping entire platform open access and open source. SENSDI is based on Geonode, QGIS and Java, that bind most of the functionalities of Internet, sensor web and nowadays Internet of Things superseding Internet of Sensors as well. In a nutshell, the project delivers a generalized real-time accessible and analysable platform for sensing the environment and mapping the captured information for optimal decision-making and societal benefit.
AB - The paper endeavours to enhance the Sensor Web with crucial geospatial analysis capabilities through integration with Spatial Data Infrastructure. The objective is development of automated smart cities intelligence system (SMACiSYS) with sensor-web access (SENSDI) utilizing geomatics for sustainable societies. There has been a need to develop automated integrated system to categorize events and issue information that reaches users directly. At present, no web-enabled information system exists which can disseminate messages after events evaluation in real time. Research work formalizes a notion of an integrated, independent, generalized, and automated geo-event analysing system making use of geo-spatial data under popular usage platform. Integrating Sensor Web With Spatial Data Infrastructures (SENSDI) aims to extend SDIs with sensor web enablement, converging geospatial and built infrastructure, and implement test cases with sensor data and SDI. The other benefit, conversely, is the expansion of spatial data infrastructure to utilize sensor web, dynamically and in real time for smart applications that smarter cities demand nowadays. Hence, SENSDI augments existing smart cities platforms utilizing sensor web and spatial information achieved by coupling pairs of otherwise disjoint interfaces and APIs formulated by Open Geospatial Consortium (OGC) keeping entire platform open access and open source. SENSDI is based on Geonode, QGIS and Java, that bind most of the functionalities of Internet, sensor web and nowadays Internet of Things superseding Internet of Sensors as well. In a nutshell, the project delivers a generalized real-time accessible and analysable platform for sensing the environment and mapping the captured information for optimal decision-making and societal benefit.
KW - APIs
KW - geosemantic wb
KW - Open Geospatial Consortium
KW - sensor network
KW - sensor web
KW - sensor web enablement
KW - smart cities
KW - spatial data infrastructure
UR - http://www.scopus.com/inward/record.url?scp=85032277440&partnerID=8YFLogxK
U2 - 10.5194/isprs-annals-IV-4-W3-21-2017
DO - 10.5194/isprs-annals-IV-4-W3-21-2017
M3 - Conference contribution
AN - SCOPUS:85032277440
T3 - ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences
SP - 21
EP - 28
BT - 2nd International Conference on Smart Data and Smart Cities, UDMS 2017
PB - Copernicus Publications
T2 - 2nd International Conference on Smart Data and Smart Cities, UDMS 2017
Y2 - 4 October 2017 through 6 October 2017
ER -