200
G. E. Modoni and M. Sacco
3.1.3 Design for All Case Study
The Italian research project Design for All aims at conceiving a framework which
enables a design of an Ambient Assisted Living (AAL) focused on the real human
being, considering each person in his peculiarities and particularities [30]. On the one
hand, this framework manages the information concerning the domestic environment,
also through the modeling of different scenarios describing the most prominent states
of the home dwellers. On the other hand, the project enhances the interoperability
of various digital tools supporting both the home’s design and working, which in
this way can exchange information in an efficient way. In order to achieve these
objectives, Design for All investigates the potential of SWT, which provide a method
for representing and integrating the knowledge concerning the home environment.
In such a scenario, it is essential to persist and handle this knowledge through a
proper semantic repository [26]. In particular, the latter must be capable to entail
new information from continuous and heterogeneous streams of data produced by the
various devices scattered in the home environment. In addition, scalability, real-time,
and security requirements must be taken into account in order to extend the approach
in real environment. Finally, in consideration of the high number of smart objects
connected to the network in the home environment, it is also essential to identify valid
strategies for distributing intelligence and data among the different hardware and
software components distributed within the infrastructure (sensors, microcontrollers,
services and databases on the cloud, etc.), relying in particular on the paradigms of
fog and edge Computing. In order to identify a scalable architecture model based on
these distributed paradigms, a federated repository model was used that best supports
a distributed approach such as that offered by fog and edge Computing.
3.2 Selection of the Critical Success Factors
On the basis of the analysis of the three case studies reported in the previous section,
a set of functional and non-functional features for RDF store solutions and that
affect the latter’s success. These features can then be used as criteria to conduct
a methodological comparison of a group of RDF stores, which have before been
identified and selected. The complete list of the adopted criteria is reported in Table 1,
which also reports the case study from which the criteria has been elicited. In addition,
the reported criteria are categorized in table depending on whether the criteria is a
functional or non-functional feature (third column).
G. E. Modoni and M. Sacco
3.1.3 Design for All Case Study
The Italian research project Design for All aims at conceiving a framework which
enables a design of an Ambient Assisted Living (AAL) focused on the real human
being, considering each person in his peculiarities and particularities [30]. On the one
hand, this framework manages the information concerning the domestic environment,
also through the modeling of different scenarios describing the most prominent states
of the home dwellers. On the other hand, the project enhances the interoperability
of various digital tools supporting both the home’s design and working, which in
this way can exchange information in an efficient way. In order to achieve these
objectives, Design for All investigates the potential of SWT, which provide a method
for representing and integrating the knowledge concerning the home environment.
In such a scenario, it is essential to persist and handle this knowledge through a
proper semantic repository [26]. In particular, the latter must be capable to entail
new information from continuous and heterogeneous streams of data produced by the
various devices scattered in the home environment. In addition, scalability, real-time,
and security requirements must be taken into account in order to extend the approach
in real environment. Finally, in consideration of the high number of smart objects
connected to the network in the home environment, it is also essential to identify valid
strategies for distributing intelligence and data among the different hardware and
software components distributed within the infrastructure (sensors, microcontrollers,
services and databases on the cloud, etc.), relying in particular on the paradigms of
fog and edge Computing. In order to identify a scalable architecture model based on
these distributed paradigms, a federated repository model was used that best supports
a distributed approach such as that offered by fog and edge Computing.
3.2 Selection of the Critical Success Factors
On the basis of the analysis of the three case studies reported in the previous section,
a set of functional and non-functional features for RDF store solutions and that
affect the latter’s success. These features can then be used as criteria to conduct
a methodological comparison of a group of RDF stores, which have before been
identified and selected. The complete list of the adopted criteria is reported in Table 1,
which also reports the case study from which the criteria has been elicited. In addition,
the reported criteria are categorized in table depending on whether the criteria is a
functional or non-functional feature (third column).