Abstract
This paper presents an analysis of the potential and a methodology for handling context events and adaptations in maintenance services. A significant number of industrial IT systems employ data models and service frameworks whose design specifications where drafted on the basis of functional requirements for non context-aware systems. Such systems were modular in nature but little care was taken for providing data fusion in a context-aware manner. Though system intelligence might have been a feature for a subset of such systems, two major requirements kept implementations away from wider adoption: (i) refactoring and reengineering of the system’s base services (ii) customising and modifying the structure of a data model tightly connected with inter-process organisation. This paper discusses a methodology for injecting industrial asset management systems with modelling semantics and software mechanisms that enable context awareness via portable clients and application-agnostic data fusion services.
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Pistofidis, P., Emmanouilidis, C. (2013). Profiling Context Awareness in Mobile and Cloud Based Engineering Asset Management. In: Emmanouilidis, C., Taisch, M., Kiritsis, D. (eds) Advances in Production Management Systems. Competitive Manufacturing for Innovative Products and Services. APMS 2012. IFIP Advances in Information and Communication Technology, vol 398. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-40361-3_3
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DOI: https://doi.org/10.1007/978-3-642-40361-3_3
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-40360-6
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