Abstract
This paper proposes a semantic-based retrieval algorithm that allows the pervasive service system to find services able to return data about specific physical phenomenon (e.g. temperature, humidity), in a given location, with particular timeliness. This retrieval algorithm can be used to increase the capabilities of a self-managing pervasive systems, with specific focus on smart buildings, by providing a flexible solution to find sensors similar to a one that failed, or to find sensor data able to control actuators.
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Acknowledgement
This work has been partially funded by Italian project “Industria 2015-Sensori” Grant agreeement n. 00029MI01/2011.
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Foglieni, C., Mazuran, M., Meroni, G., Plebani, P. (2015). Retrieving Sensors Data in Smart Buildings Through Services: A Similarity Algorithm. In: Toumani, F., et al. Service-Oriented Computing - ICSOC 2014 Workshops. Lecture Notes in Computer Science(), vol 8954. Springer, Cham. https://doi.org/10.1007/978-3-319-22885-3_25
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DOI: https://doi.org/10.1007/978-3-319-22885-3_25
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