Interlinking Opensource Geo-Spatial Datasets for Optimal Utility in Ranking

Bhattacharya, Devanjan; Pasquali, Piero; Komárková, Jitka; Sedlák, Pavel; Saha, Atreyi; Boccardo, Piero

doi:10.1007/978-3-319-07926-4_13

Cited by 2 publications

(2 citation statements)

References 27 publications

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“…The development of the system has been done component wise and some intermediate results component-wise have been reported in (Bhattacharya et al, 2014b;Komarkova et al, 2013). The joining of geospatial datasets and knowledge bases is required to utilize the complete set of information available in each of them.…”

Section: Resultsmentioning

confidence: 99%

SMART CITIES INTELLIGENCE SYSTEM (SMACiSYS) INTEGRATING SENSOR WEB WITH SPATIAL DATA INFRASTRUCTURES (SENSDI)

Bhattacharya

Paìnho

2017

ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci.

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ABSTRACT: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.

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Section: Resultsmentioning

confidence: 99%

SMART CITIES INTELLIGENCE SYSTEM (SMACiSYS) INTEGRATING SENSOR WEB WITH SPATIAL DATA INFRASTRUCTURES (SENSDI)

Bhattacharya

Paìnho

2017

ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci.

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“…The topological and geometric matching of big open data has been achieved by the PI in a moderately 261 non-trivial case as reported in [41]. Additionally the ontological representation of natural 262 phenomenon for expert systems has been developed for specific cases.…”

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confidence: 99%