%0 Journal Article %1 AlexopoulosMakrisEtAl14procir %A Alexopoulos, Kosmas %A Makris, Sotiris %A Xanthakis, Vangelis %A Sipsas, Konstantinos %A Liapis, Aggelos %A Chryssolouris, George %D 2014 %J Procedia CIRP %K 01624 paper embedded ai factory sensor data information management mobile user interface application assist zzz.i40 %P 377--384 %R 10.1016/j.procir.2014.10.052 %T Towards a Role-centric and Context-aware Information Distribution System for Manufacturing %V 25 %X ICT platforms, in the manufacturing context, provide a number of tools, such as sensors, wireless networks, mobile devices, MES, ERP and information management systems in order to support shop-floor and back-office personnel. There is a need for the vast amount of information gathered and generated by such ICT systems to be utilized in a manner that can truly speed up production processes and facilitate immediate reaction to issues and shortcomings. This study presents an ontology-based approach for context modelling that has been developed by taking into account the main factory objects such as products, processes, resources, production units and enriches them with context information. The proposed context ontology aims at defining a fundamental data model for context extraction in a manufacturing environment. Moreover, the concept of a generic architecture and the key components for role-based and context aware information distribution is also described. An industrial application scenario, for the proposed role-centric and context-aware architecture, is described.

@article{AlexopoulosMakrisEtAl14procir, abstract = {ICT platforms, in the manufacturing context, provide a number of tools, such as sensors, wireless networks, mobile devices, MES, ERP and information management systems in order to support shop-floor and back-office personnel. There is a need for the vast amount of information gathered and generated by such ICT systems to be utilized in a manner that can truly speed up production processes and facilitate immediate reaction to issues and shortcomings. This study presents an ontology-based approach for context modelling that has been developed by taking into account the main factory objects such as products, processes, resources, production units and enriches them with context information. The proposed context ontology aims at defining a fundamental data model for context extraction in a manufacturing environment. Moreover, the concept of a generic architecture and the key components for role-based and context aware information distribution is also described. An industrial application scenario, for the proposed role-centric and context-aware architecture, is described.}, added-at = {2015-12-25T17:04:51.000+0100}, author = {Alexopoulos, Kosmas and Makris, Sotiris and Xanthakis, Vangelis and Sipsas, Konstantinos and Liapis, Aggelos and Chryssolouris, George}, biburl = {https://www.bibsonomy.org/bibtex/29355c96270618c9480649f94faf7dbca/flint63}, doi = {10.1016/j.procir.2014.10.052}, file = {ScienceDirect:2014/AlexopoulosMakrisEtAl14procir.pdf:PDF}, groups = {public}, interhash = {856455de1dbd7b1d18afe555b7b6d180}, intrahash = {9355c96270618c9480649f94faf7dbca}, issn = {2212-8271}, journal = {Procedia CIRP}, keywords = {01624 paper embedded ai factory sensor data information management mobile user interface application assist zzz.i40}, note = {8th International Conference on Digital Enterprise Technology DET 2014 Disruptive Innovation in Manufacturing Engineering towards the 4th Industrial Revolution}, pages = {377--384}, timestamp = {2017-07-13T18:14:09.000+0200}, title = {Towards a Role-centric and Context-aware Information Distribution System for Manufacturing}, username = {flint63}, volume = 25, year = 2014 }