Abstract
The goal of this paper is the introduction of a methodology for designing context-driven data selection, that is the possibility to tailor the available, usually too rich, data to be held on portable mobile devices, according to context. First of all, we will introduce the concept of context and its model, a data structure that expresses knowledge on the user, the environment and the possible scenarios. We will then focus on the proposed methodology for selecting, by means of such information, the relevant data to be made available on a user device. An application of the proposed methodology is the possibility to select data of interest for portable devices, where computation, memory, power and connectivity resources are limited, and thus, tailororing the available, usually too rich, data according to context is a mandatory task.
This work has been partially supported by MIUR projects Esteem and ARTDECO.
An erratum to this chapter can be found at http://dx.doi.org/10.1007/11915072_109.
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Bolchini, C., Quintarelli, E. (2006). Context-Driven Data Filtering: A Methodology. In: Meersman, R., Tari, Z., Herrero, P. (eds) On the Move to Meaningful Internet Systems 2006: OTM 2006 Workshops. OTM 2006. Lecture Notes in Computer Science, vol 4278. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11915072_107
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