Among the most important decisions to be taken in modeling human habits in smart spaces there is the choice of the technique to be adopted: models can be expressed by using a multitude of formalisms, all with differently proven effectiveness. However, a crucial aspect, often underestimated in its importance, is the readability of the model: it influences the possibility of validating the model itself by human experts. Possible solutions for the readability issue are offered by Business Process Modeling techniques, designed for process analysis: to apply process automation and mining techniques on a version of the sensor log preprocessed in order to translate raw sensor measurements into human actions. The paper also presents some hints of how the proposed method can be employed to automatically extract models to be reused for ambient intelligence, analysing the challenges in this research field.
An habit is a process: A BPM-based approach for smart spaces / Sora, Daniele; Leotta, Francesco; Mecella, Massimo. - 308:(2018), pp. 298-309. (Intervento presentato al convegno 15th International Conference on Business Process Management, BPM 2017 tenutosi a Barcelona; Spain) [10.1007/978-3-319-74030-0_22].
An habit is a process: A BPM-based approach for smart spaces
Sora Daniele;Leotta Francesco;Mecella Massimo
2018
Abstract
Among the most important decisions to be taken in modeling human habits in smart spaces there is the choice of the technique to be adopted: models can be expressed by using a multitude of formalisms, all with differently proven effectiveness. However, a crucial aspect, often underestimated in its importance, is the readability of the model: it influences the possibility of validating the model itself by human experts. Possible solutions for the readability issue are offered by Business Process Modeling techniques, designed for process analysis: to apply process automation and mining techniques on a version of the sensor log preprocessed in order to translate raw sensor measurements into human actions. The paper also presents some hints of how the proposed method can be employed to automatically extract models to be reused for ambient intelligence, analysing the challenges in this research field.File | Dimensione | Formato | |
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