A Method to Provide Context from Massive Data Processing in Context-Aware System


KIPS Transactions on Software and Data Engineering, Vol. 8, No. 4, pp. 145-152, Apr. 2019
https://doi.org/10.3745/KTSDE.2019.8.4.145,   PDF Download:
Keywords: Context Aware System, Context Abstraction, Ontology, Massive Data Processing
Abstract

Unlike a single value from a sensor device, a massive data set has characteristics for various processing aspects; input data may be formed in a different format, the size of input data varies, and the processing time of analyzing input data is not predictable. Therefore, context aware systems may contain complex modules, and these modules can be implemented and used in different ways. In order to solve these problems, we propose a method to handle context information from the result of analyzing massive data. The proposed method considers analysis work as a different type of abstracting context and suggests the way of representing context information. In experiment, we demonstrate how the context processing engine works properly in a couple of steps with healthcare services.


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Cite this article
[IEEE Style]
Y. S. Park, J. S. Choi, J. Y. Choi, "A Method to Provide Context from Massive Data Processing in Context-Aware System," KIPS Transactions on Software and Data Engineering, vol. 8, no. 4, pp. 145-152, 2019. DOI: https://doi.org/10.3745/KTSDE.2019.8.4.145.

[ACM Style]
Yoo Sang Park, Jong Sun Choi, and Jae Young Choi. 2019. A Method to Provide Context from Massive Data Processing in Context-Aware System. KIPS Transactions on Software and Data Engineering, 8, 4, (2019), 145-152. DOI: https://doi.org/10.3745/KTSDE.2019.8.4.145.