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G. E. Modoni and M. Sacco
Fig. 2 The research approach
3.1 Analysis of the Case Studies
The analysis of a case study can help to create a bridge between theory and design,
thus allowing to in understand the various dynamics present within specific settings
[10], supporting explorative researches which allows to show which of the generic
factors could be critical for use in a particular context. For this reason, the herein
approach leverages the analysis of three real self-conducted case studies conducted
respectively in the areas of Manufacturing (Apps4aME project), Ambient Assisted
Living (D4All project), and eHealth (Pegaso project), in order the elicit the critical
success factors of the RDF stores. All the three case studies are characterized by
the fact they leverage the SWT, which are however applied (in the three cases) for
different scopes and purposes. Specifically, we outline a set of technical requirements
for each case study, and present open research issues, challenges, and future research
directions concerning these requirements. The case studies are illustrated in details
in the following subsections.
3.1.1 Apps4aME Case Study
Apps4aME is a European research project which aims at enabling the integration of
product design, process development, factory production planning and factory operation through Engineering Apps (eApps) [35]. In order to realize this integration, the
Apps4aME approach proposes the development of a solution based on a common
reference model that provides a detailed overview of all relevant domain specific and
inter-domain interdependencies. This reference model is formalized and expressed
exploiting the SWT. In this regard, in order to properly manage the data adhering
to the adopted reference model, it is needed to find an effective RDF store acting as
backbone of an enterprise architecture comprising different software components.
One of the main needs of such an architecture is its capability to handle streams of
data in motion. Indeed, this capability allows the specific company to gather huge
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