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9.3 Related Works 337<br />

combined by environmental data (environmental temperature) to obtain different<br />

services. Stress is also put in HMI (Human-Machine Interaction) and<br />

HCI (Human-Computer Interaction) in order to further offer profiling, privacy<br />

and seamless interaction. In order to achieve these objectives, some concepts<br />

from the SOUPA ontology are used, thus providing service ontology<br />

description [27]. Interoperability is guaranteed by using a semantic middleware<br />

layer capable of integrating functionalities of low capability devices<br />

(motes, an electronically-enhanced sport belt) working with different communication<br />

protocols (Bluetooth, 802.15.4).<br />

DiYSE (Do-it-Yourself Smart Experiences, Creating smart experiences<br />

on the Web of Things) is a project that provides the suitable tools for users<br />

to have them generating applications for the Internet of Things, even if their<br />

information technology skills are not especially high [28]. In order to do so, a<br />

semantic-based engine is used, as well as semantic descriptions for sensors, so<br />

that the latter will be better managed. Services are exposed as accessible for a<br />

group of users, and developed applications can be executed, adapted or shared.<br />

Ontologies have been used here as well — an ad hoc ontology is developed<br />

after OWL-S concepts —, adding the idea that they must evolve whenever<br />

either a change is required in the domain knowledge or there is a certain need<br />

of change [29, 30].<br />

IoT-A (Internet of Things Architecture) is a FP7 project pursuing the consecution<br />

of the architectural foundations that will become dominant in the<br />

Internet of Things, in this way seamlessly integrating the disparity of the IoT<br />

architectures into a coherent architecture, which will be smart enough to federate<br />

itself with other systems already present [31]. As it happens with other<br />

projects, IoT-A relies on semantic features (Semantic Web, semantic clustering)<br />

to discover IoT resources and their dynamic association management<br />

[32]. Additionally, ontologies are used to define generic parameters as “temperature”<br />

or “luminosity”, specified in terms resembling instance quantities<br />

belonging to the QU ontologies (SySML).<br />

On the other hand, IoT-I (Internet of Things Initiative) is an EU Framework<br />

Programme 7 project that has as objective unifying the efforts of several<br />

communities with interests in the Internet of Things in order to work together<br />

in a similar vision of this paradigm, seeking a common strategic and technical<br />

vision for the Internet of Things and promoting a socially acceptable, economically<br />

sustainable environment that will be used to encourage the adoption

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