Full Citation and Abstract
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Title: |
Complex RFID Event Data Modeling and Processing with UML and RDF |
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Author(s): |
Hong-Bae Jun, Dimitris Kiritsis, Paul Xirouchakis |
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Address: |
Dept. of Industrial and Information Engineering, Hongik University, 121-791 Seoul, Repulic of Korea
STI-IGM-LICP, Swiss Federal Institute of Technology in Lausanne (EPFL), Station 9, ME, CH 1015 Lausanne, Switzerland
STI-IGM-LICP, Swiss Federal Institute of Technology in Lausanne (EPFL), Station 9, ME, CH 1015 Lausanne, Switzerland
hongbae.jun @ hongik.ac.kr, dimitris.kiritsis @ epfl.ch, paul.xirouchakis @ epfl.ch |
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Reference: |
PLM-SP4 - 2008 Proceedings pp. 294 - 307 |
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Abstract/
Summary |
Recently, with the advent of product identification technologies such as radio frequency identification (RFID), micro-electro-mechanical system (MEMS), various sensors, and wireless tele-communication, we can have the information visibility of product status over the whole product lifecycle. It gives us new challenging issues for improving the efficiency of product lifecycle operations. To resolve the challenging issues, the basic step is modeling and processing of complex event data generated by lots of product embedded information devices such as RFID tags, during product lifecycle. In this study, we introduce a complex RFID event data modeling and processing framework based on unified modeling language (UML) and resource description framework (RDF). To evaluate the proposed framework, we carry out a case study based on a PROMISE application. |
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