In this paper, basing on the results of previous studies, we present an information processing architecture that aims to lessen the distance between sensors and applications in as much humanly unsupervised way as possible. With the impressive growth of today’s computational and miniaturization technologies, it is likely that the distance between sensors and applications could be covered by one single device or system only. Practically, it happens that experts such as system integrators or engineers are often needed to fill in the gap. The proposed computational model uses the notion of ‘holon’, a concept that is well suited for multi-level information processing, from the raw data level up to the knowledge-oriented information level. For test purposes, a data analysis platform called H-GIS that grounds on the current proposal has been employed and a case study has been commented.
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