Version 1
: Received: 27 November 2017 / Approved: 27 November 2017 / Online: 27 November 2017 (07:49:48 CET)
How to cite:
Bhattacharya, D.; Painho, M. Augmented Smart Cities Integrating Sensor Web and Spatial Data Infrastructure (SmaCiSENS). Preprints2017, 2017110172. https://doi.org/10.20944/preprints201711.0172.v1
Bhattacharya, D.; Painho, M. Augmented Smart Cities Integrating Sensor Web and Spatial Data Infrastructure (SmaCiSENS). Preprints 2017, 2017110172. https://doi.org/10.20944/preprints201711.0172.v1
Bhattacharya, D.; Painho, M. Augmented Smart Cities Integrating Sensor Web and Spatial Data Infrastructure (SmaCiSENS). Preprints2017, 2017110172. https://doi.org/10.20944/preprints201711.0172.v1
APA Style
Bhattacharya, D., & Painho, M. (2017). Augmented Smart Cities Integrating Sensor Web and Spatial Data Infrastructure (SmaCiSENS). Preprints. https://doi.org/10.20944/preprints201711.0172.v1
Chicago/Turabian Style
Bhattacharya, D. and Marco Painho. 2017 "Augmented Smart Cities Integrating Sensor Web and Spatial Data Infrastructure (SmaCiSENS)" Preprints. https://doi.org/10.20944/preprints201711.0172.v1
Abstract
Spatio-temporal aspects of data lead to critical information. Sensors capture data at all scales continually so it is imperative that useful information be extracted ubiquitously and regularly. Location plays a vital part by helping understand relations between datasets. It is crucial to link developmental works with spatial attributes and current challenge is to create an open platform that manages real-time sensor data and provides critical spatial analytics atop expert domain knowledge provided in the system. That is a two-faced problem where the solution tackles not only data from multiple sources but also runs data management platform, a spatial data infrastructure(SDI) as backbone framework able to harness sensor web(SW). The paper proposes development of such a globally shared open spatial expert system(ES), SmaCiSENS, a first of a kind geo-enabled knowledge based(KB) ES for multiple fields, smarter cities to climate modeling. SmaCiSENS is integration of SW and SDI with domain KB on data and problems, ready to infer solutions. The paper describes an architecture for semantic enablement for SW, SDI; connect interfaces, functions of SDI and SW, and sensor data application program interfaces (APIs) to better manage climate modeling, geohazard, global changes, and other vital areas of attention and action.
Keywords
spatial data infrastructure; sensor web; geographical information system; smart cities; knowledge based system; expert system; spatial technologies
Subject
Environmental and Earth Sciences, Remote Sensing
Copyright:
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
