Martin Becker
ABSTRACT
In the context of the Internet of Things, an increasing number of platforms like Xively or ThingSpeak are available to manage ubiquitous sensor data. Strict data formats allow interoperability and informative visualizations, supporting the development of custom user applications. Yet, these strict data formats as well as the common device-centric approach limit the flexibility of these platforms: there are no means to incorporate people and their subjective impressions about the collected data. In order to build the Internet of Things and People and ultimately the Internet of Everything, we aim at providing an extendable concept of data which allows to enrich existing data points with any kind of additional information. This enables us to gain semantic and user specific context by attaching subjective data to objective values. For this end we support data ranging from text-based formats like JSON to images and video footage. This paper provides an overview of our architecture including concept, implementation details and present applications. We distinguish our approach from several other systems and describe two sensing applications namely AirProbe and WideNoise that were implemented for our platform.
- Atzmueller, M., Becker, M., Doerfel, S., Kibanov, M., Hotho, A., Macek, B.-E., Mitzla, F., Mueller, J., Scholz, C., and Stumme, G. Ubicon: Observing social and physical activities. In IEEE International Conference on Cyber, Physical and Social Computing, CPSCom 2012, Besanon, France, 20-23 November, 2012, IEEE (2012), 317--324. Google Scholar
Digital Library
- Cu, D., Hansen, M., and Kang, J. Urban sensing: Out of the woods. Communications of the ACM 51, 3 (Mar. 2008), 24--33. Google ScholarDigital Library
- Elen, B., Theunis, J., Ingarra, S., Molino, A., Van, J., den Bossche, Reggente, M., and Loreto, V. The everyaware sensorbox: a tool for community-based air quality monitoring. In Sensing a Changing World Workshop, Wageningen, The Netherlands, 9 May, 2012. Proceedings (2012)Google Scholar
- Haklay, M. Citizen science and volunteered geographic information: Overview and typology of participation. In Crowdsourcing Geographic Knowledge. Springer, 2013, 105--122.Google Scholar
- Hotho, A., Ulslev Pedersen, R., and Wurst, M. Ubiquitous data. In Ubiquitous Knowledge Discovery, no. 6202 in Lecture Notes in Computer Science. Springer, 2010, 61--74. Google ScholarDigital Library
- King, A. B. Speed Up Your Site: Web Site Optimization, 1 ed. New Riders, 2003. Google ScholarDigital Library
- Shneiderman, B. The eyes have it: A task by data type taxonomy for information visualizations. In Symposium on Visual Languages, Boulder, CO, USA -- 3-6 September, 1996. Proceedings, IEEE (1996), 336--343. Google ScholarDigital Library
- Uckelmann, D., Harrison, M., and Michahelles, F. An architectural approach towards the future internet of things. In Architecting the Internet of Things. Springer, 2011, 1--24.Google Scholar
Index Terms
- A generic platform for ubiquitous and subjective data
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