Location Intelligence for Augmented Smart Cities Integrating Sensor Web and Spatial Data Infrastructure (SmaCiSENS)
Devanjan Bhattacharya, Marco Painho
2018
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.
DownloadPaper Citation
in Harvard Style
Bhattacharya D. and Painho M. (2018). Location Intelligence for Augmented Smart Cities Integrating Sensor Web and Spatial Data Infrastructure (SmaCiSENS).In Proceedings of the 4th International Conference on Geographical Information Systems Theory, Applications and Management - Volume 1: GISTAM, ISBN 978-989-758-294-3, pages 282-289. DOI: 10.5220/0006786102820289
in Bibtex Style
@conference{gistam18,
author={Devanjan Bhattacharya and Marco Painho},
title={Location Intelligence for Augmented Smart Cities Integrating Sensor Web and Spatial Data Infrastructure (SmaCiSENS)},
booktitle={Proceedings of the 4th International Conference on Geographical Information Systems Theory, Applications and Management - Volume 1: GISTAM,},
year={2018},
pages={282-289},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0006786102820289},
isbn={978-989-758-294-3},
}
in EndNote Style
TY - CONF
JO - Proceedings of the 4th International Conference on Geographical Information Systems Theory, Applications and Management - Volume 1: GISTAM,
TI - Location Intelligence for Augmented Smart Cities Integrating Sensor Web and Spatial Data Infrastructure (SmaCiSENS)
SN - 978-989-758-294-3
AU - Bhattacharya D.
AU - Painho M.
PY - 2018
SP - 282
EP - 289
DO - 10.5220/0006786102820289