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Unleashing the potential of the Internet of Things 3
2) The home automation application in the home gateway checks whether the approximate
average temperature of the room is higher than a comfortably cool level or not. If the
approximate average temperature of the room is higher, the home automation application
will reduce the temperature.
3) The home automation application queries the device in the room that can reduce the
temperature. With the help of semantic discovery, the air conditioner and its operations are
exposed to the home automation application. The home automation application controls the
air conditioner in order to reduce the room temperature to a cooler level until the relevant
body monitoring data sent from the mobile phone become normal.
I.2 Semantics enabled location-based service
A semantics-enabled location-based service can provide users with a spatial inquiring service. IoT
semantic technologies are used for the implementation of a semantics enabled location-based
service.
As an example of this service, this clause describes the process related to a specific spatial inquiry:
finding all gas stations within 10 miles offering a gas price lower than a given amount.
One possible way to offer a semantics-enabled location-based service is shown in Figure I.2.
Figure I.2 – Semantics enabled location-based service
The application layer of the IoT device provides semantic discovery support functionality, which
can send out query requests in a semantic way. For the specific inquiry above, i.e., finding all the
gas stations within 10 miles with a gas price lower than a given amount, a query request is sent out
to the IoT platform according to the specific IoT ontology used by the IoT device and in
corresponding semantic description language. At the same time, the current location information of
the IoT device (e.g., latitude and longitude) is sent out to the IoT platform.
The IoT platform retrieves the query request and triggers the semantic discovery functionality. The
semantic discovery functionality fails because it cannot find an IoT resource that meets the query
request directly. Then a semantic composition functionality is triggered which composes feedback
from a geographical map application server and feedback from multiple gas station application
servers. The geographical map application server returns the list of gas stations that are within 10
miles of the IoT device. Gas station application servers feedback corresponding gas stations'
location information. The semantic composition functionality of the IoT platform composes these
feedbacks and produces the answer for the query request of the IoT device.
Rec. ITU-T Y.4111/Y.2076 (02/2016) 353