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R. Sabou, F. Ekaputra, S. Biffl:
"Semantic Web Technologies for Data Integration in Multi-Disciplinary Engineering";
in: "Multi-Disciplinary Engineering of Cyber-Physical Production Systems", S. Biffl, A. Lüder, D. Gerhard (Hrg.); Springer, Switzerland, 2017, ISBN: 978-3-319-56344-2, S. 301 - 329.

A key requirement in supporting the work of engineers involved in
the design of Cyber-Physical Production Systems (CPPS) is offering tools that
can deal with engineering data produced across the various involved engineering
disciplines. Such data is created by different discipline-specific tools and is represented in tool-specific data models. Therefore, due to this data heterogeneity, it is
challenging to coordinate activities that require project-level data access. Semantic
Web technologies (SWTs) provide solutions for integrating and making sense of
heterogeneous data sets and as such are a good solution candidate for solving data
integration challenges in multi-disciplinary engineering (MDE) processes specific
for the engineering of cyber-physical as well as traditional production systems. In
this chapter, we investigate how SWTs can support multi-disciplinary engineering
processes in CPPS. Based on CPPS engineering use cases, we discuss typical
needs for intelligent data integration and access, and show how these needs can be
addressed by SWTs and tools. For this, we draw on our own experiences in building
Semantic Web solutions in engineering environments.

Multi-disciplinary engineering . Data integration . Semantic Web . Linked data . Ontology-based information integration

http://dx.doi.org/10.1007/978-3-319-56345-9_12