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.

Retrieving Sensors Data in Smart Buildings Through Services: A Similarity Algorithm

MAZURAN, MIRJANA;MERONI, GIOVANNI;PLEBANI, PIERLUIGI
2015

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.
Service-Oriented Computing - ICSOC 2014 Workshops
978-3-319-22884-6
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Utilizza questo identificativo per citare o creare un link a questo documento: http://hdl.handle.net/11311/964024
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