Extensible Data Management Architecture for Smart Campus Applications - A Crowdsourcing based Solution

Attila Adamkó, Lajos Kollár

2014

Abstract

The technological advancements that have occurred during the past decade in various domains, including sensors, wireless communications, location positioning technologies and the web, allow the collection of a wide range of data. Possible sources of that data include intelligent devices (smartphones, tablets, etc.) containing various sensors, Web pages, and social networking sites. Collected data are subject to analysis (using data mining or pattern recognition approaches, for instance) and after processing new content might be inferred. This is a value-added service that can itself be used as a data source. In this paper, we use our University Campus as an example for establishing a data management architecture that integrates into a more general, extensible publish/subscribe based model of crowdsourced applications.

Paper Citation

in Harvard Style

Adamkó A. and Kollár L. (2014). Extensible Data Management Architecture for Smart Campus Applications - A Crowdsourcing based Solution . In Proceedings of the 10th International Conference on Web Information Systems and Technologies - Volume 1: WEBIST, ISBN 978-989-758-023-9, pages 226-232. DOI: 10.5220/0004964802260232

in Bibtex Style

@conference{webist14,
author={Attila Adamkó and Lajos Kollár},
title={Extensible Data Management Architecture for Smart Campus Applications - A Crowdsourcing based Solution},
booktitle={Proceedings of the 10th International Conference on Web Information Systems and Technologies - Volume 1: WEBIST,},
year={2014},
pages={226-232},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0004964802260232},
isbn={978-989-758-023-9},
}

in EndNote Style

TY - CONF
JO - Proceedings of the 10th International Conference on Web Information Systems and Technologies - Volume 1: WEBIST,
TI - Extensible Data Management Architecture for Smart Campus Applications - A Crowdsourcing based Solution
SN - 978-989-758-023-9
AU - Adamkó A.
AU - Kollár L.
PY - 2014
SP - 226
EP - 232
DO - 10.5220/0004964802260232