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Improving Industrial Product Lifecycle Management by Semantic Data Federations
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Author(s): Steffen Kunz (Humboldt-Universität zu Berlin, Institute of Information Systems, Germany), Benjamin Fabian (Humboldt-Universität zu Berlin, Institute of Information Systems, Germany), Markus Aleksy (ABB Corporate Research Center Germany, Germany), Matthias Wauer (Technische Universität Dresden, Germany)and Daniel Schuster (Technische Universität Dresden, Germany)
Copyright: 2012
Pages: 25
Source title:
Handbook of Research on Industrial Informatics and Manufacturing Intelligence: Innovations and Solutions
Source Author(s)/Editor(s): Mohammad Ayoub Khan (Centre for Development of Advanced Computing, India)and Abdul Quaiyum Ansari (Jamia Millia Islamia, India)
DOI: 10.4018/978-1-4666-0294-6.ch018
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Abstract
It is expected that the amount of product information available from the Internet of Things and Services will be so tremendous that the main challenge will be to provide the right information, at the right time, in the right place, and to the right people. This objective is addressed by Aletheia – a distributed Information System that enables the federation and semantic integration of very heterogeneous information sources. This chapter discusses the goals, functionality, and architecture of Aletheia, guided by a real-world case study in the industrial service sector and conducted in cooperation with ABB, a major company providing power and automation technologies, products, and services for utility and industry customers. Further, the authors discuss several issues from the Aletheia project experience they believe to be valuable for researchers and implementers of semantic data federation systems as well as practitioners in the industrial service sector.
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