Semantic Web and IoT
7
media content that facilitate global interoperability between the physical and the
virtual world.
In [18], the Multimedia Web Ontology Language (MOWL) is used to store data
coming from heterogeneous sensors, such as cameras, WSN, GPS and other components thus encoding the smart traffic domain knowledge. Incoming data are first
processed and then analyzed to predict real-time traffic conditions and trigger the
appropriate actions.
Similarly, connected cars can easily turn a simple car from a transportation object
to a digital platform for integrating humans with a city. To this end, the cars need
to be informed of their environmental connected services, how they are linked with
each other and finally how to connect with them so that they can benefit from their
use. The authors of [19] developed a semantic repository in which they preserve
data consisting of the car’s view on the real world. The semantic repository regularly
acquires new location-specific information from sensors and devices to satisfy user
requests for service discovery, such as parking spaces and restaurants.
In [20], an ontology was developed for collaborative route planning based on
data coming from navigation sensors (e.g GPS). The model describes interactions
between various types of travelers such as drivers, autonomous cars and pedestrians,
given that they all have some kind of navigation sensors and share navigational
information. Those different kind of travelers share their navigational needs and
desires for meeting various objectives. An algorithm for self driving tourists was
proposed in another study [21]. The model describes the experiences of drivers and
services requested by tourists. It examines traffic information, schedules of touristic
places (i.e. museums), the vehicle’s capacity in fuel as well as the type of fuel and
the time of departure.
ST4RT project [22] aims at providing transformation between various standards
and protocols based on an ontology, resulting in improved interoperability among
different legacy systems of transport organisations. Whenever two systems which
adopt different standards are required to exchange information, the semantic transformation takes place. The main idea is to create associations from the data models
of the two systems to a global reference model.
2.1.4 Health and Well-Being
INTER-Health is a healthcare platform, developed as part of the INTER-IoT platform, a (Horizon 2020) European project. The platform is actually an integration of
other existing heterogeneous IoT platforms, namely UniversAAL and BodyCloud
[23]. This integration intended to provide services that the individual platforms could
not support. The Inter-Health platform focuses on people with food and physical disorders and observes their lifestyle in order to prevent health problems. Goossen [24]
provides an overview of Detailed Clinical Models (DCM). A DCM is an information
model that expresses clinical concepts and requirements for clinical information. The
paper discusses the advantages of DCMs compared to other approaches, like the two
level modeling. A framework for distributed e-health records is presented in [25].
7
media content that facilitate global interoperability between the physical and the
virtual world.
In [18], the Multimedia Web Ontology Language (MOWL) is used to store data
coming from heterogeneous sensors, such as cameras, WSN, GPS and other components thus encoding the smart traffic domain knowledge. Incoming data are first
processed and then analyzed to predict real-time traffic conditions and trigger the
appropriate actions.
Similarly, connected cars can easily turn a simple car from a transportation object
to a digital platform for integrating humans with a city. To this end, the cars need
to be informed of their environmental connected services, how they are linked with
each other and finally how to connect with them so that they can benefit from their
use. The authors of [19] developed a semantic repository in which they preserve
data consisting of the car’s view on the real world. The semantic repository regularly
acquires new location-specific information from sensors and devices to satisfy user
requests for service discovery, such as parking spaces and restaurants.
In [20], an ontology was developed for collaborative route planning based on
data coming from navigation sensors (e.g GPS). The model describes interactions
between various types of travelers such as drivers, autonomous cars and pedestrians,
given that they all have some kind of navigation sensors and share navigational
information. Those different kind of travelers share their navigational needs and
desires for meeting various objectives. An algorithm for self driving tourists was
proposed in another study [21]. The model describes the experiences of drivers and
services requested by tourists. It examines traffic information, schedules of touristic
places (i.e. museums), the vehicle’s capacity in fuel as well as the type of fuel and
the time of departure.
ST4RT project [22] aims at providing transformation between various standards
and protocols based on an ontology, resulting in improved interoperability among
different legacy systems of transport organisations. Whenever two systems which
adopt different standards are required to exchange information, the semantic transformation takes place. The main idea is to create associations from the data models
of the two systems to a global reference model.
2.1.4 Health and Well-Being
INTER-Health is a healthcare platform, developed as part of the INTER-IoT platform, a (Horizon 2020) European project. The platform is actually an integration of
other existing heterogeneous IoT platforms, namely UniversAAL and BodyCloud
[23]. This integration intended to provide services that the individual platforms could
not support. The Inter-Health platform focuses on people with food and physical disorders and observes their lifestyle in order to prevent health problems. Goossen [24]
provides an overview of Detailed Clinical Models (DCM). A DCM is an information
model that expresses clinical concepts and requirements for clinical information. The
paper discusses the advantages of DCMs compared to other approaches, like the two
level modeling. A framework for distributed e-health records is presented in [25].