@inproceedings{d569dbb052044d8bbef4f33e352b9cdf,
title = "Reliable Self-Learning Production Systems Based on Context Aware Services",
abstract = "The paper presents the key results of the EU-project Self-Learning. The strategic objective of Self-Learning is to strengthen EU leadership in production technologies in the global marketplace by developing innovative self-learning solutions to enable tight integration of control & so called secondary processes (e.g. maintenance, energy efficiency) of production systems. The project developed highly reliable and secure service-based self-learning solutions aiming at that integration. Approaches based on SOA principles, using distributed networked embedded services in device space, are the most appropriate for implementation of such self-learning solutions. Context awareness, providing information about the processes & equipment and circumstances under which the services operate and allowing them to react accordingly, is a promising holistic approach to assure needed self-learning adaptation to changes in processes and equipment states. The key components of a self-learning solution include a Context Extractor module to allow for dynamic context extraction, processing and storage, an Adapter module to allow for a holistic process control of considered systems and a self-learning module to allow for self-learning. Three industrial application scenarios drive the project.",
keywords = "Self-Adaptive, Context Awareness, Ontology, SOA, self-learning, Context Extraction",
author = "Sebastian Scholze and Dragan Stokic and Oliver Kotte and Jose Barata and {Di Orio}, Giovanni and Goncalo Candido",
note = "sem pdf conforme despacho. Self-Learning project of European Union's 7th Framework Program - NMP-2008-228857 ; IEEE International Conference on Systems, Man, and Cybernetics (SMC), SMC 2013 ; Conference date: 13-10-2013 Through 16-10-2013",
year = "2013",
doi = "10.1109/SMC.2013.829",
language = "English",
series = "IEEE International Conference on Systems Man and Cybernetics Conference Proceedings",
publisher = "IEEE",
pages = "4872--4877",
booktitle = "2013 IEEE INTERNATIONAL CONFERENCE ON SYSTEMS, MAN, AND CYBERNETICS (SMC 2013)",
}