Big IoT and Social Networking Data for Smart Cities - Algorithmic Improvements on Big Data Analysis in the Context of RADICAL City Applications

Evangelos Psomakelis, Fotis Aisopos, Antonios Litke, Konstantinos Tserpes, Magdalini Kardara, Pablo Martínez Campo

2016

Abstract

In this paper we present a SOA (Service Oriented Architecture)-based platform, enabling the retrieval and analysis of big datasets stemming from social networking (SN) sites and Internet of Things (IoT) devices, collected by smart city applications and socially-aware data aggregation services. A large set of city applications in the areas of Participating Urbanism, Augmented Reality and Sound-Mapping throughout participating cities is being applied, resulting into produced sets of millions of user-generated events and online SN reports fed into the RADICAL platform. Moreover, we study the application of data analytics such as sentiment analysis to the combined IoT and SN data saved into an SQL database, further investigating algorithmic and configurations to minimize delays in dataset processing and results retrieval.

Paper Citation

in Harvard Style

Psomakelis E., Aisopos F., Litke A., Tserpes K., Kardara M. and Campo P. (2016). Big IoT and Social Networking Data for Smart Cities - Algorithmic Improvements on Big Data Analysis in the Context of RADICAL City Applications . In Proceedings of the 6th International Conference on Cloud Computing and Services Science - Volume 1: DataDiversityConvergence, (CLOSER 2016) ISBN 978-989-758-182-3, pages 396-405. DOI: 10.5220/0005934503960405

in Bibtex Style

@conference{datadiversityconvergence16,
author={Evangelos Psomakelis and Fotis Aisopos and Antonios Litke and Konstantinos Tserpes and Magdalini Kardara and Pablo Martínez Campo},
title={Big IoT and Social Networking Data for Smart Cities - Algorithmic Improvements on Big Data Analysis in the Context of RADICAL City Applications},
booktitle={Proceedings of the 6th International Conference on Cloud Computing and Services Science - Volume 1: DataDiversityConvergence, (CLOSER 2016)},
year={2016},
pages={396-405},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0005934503960405},
isbn={978-989-758-182-3},
}

in EndNote Style

TY - CONF
JO - Proceedings of the 6th International Conference on Cloud Computing and Services Science - Volume 1: DataDiversityConvergence, (CLOSER 2016)
TI - Big IoT and Social Networking Data for Smart Cities - Algorithmic Improvements on Big Data Analysis in the Context of RADICAL City Applications
SN - 978-989-758-182-3
AU - Psomakelis E.
AU - Aisopos F.
AU - Litke A.
AU - Tserpes K.
AU - Kardara M.
AU - Campo P.
PY - 2016
SP - 396
EP - 405
DO - 10.5220/0005934503960405