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

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.