Semantically Enriched Industry Data & Information Modelling: A feasibility study on Shop-floor Incident Recognition
Knowledge modelling at industrial level consists an importunate activity nowadays due to the ceaseless advances in technologies and standards applied as well as the extensive amount of unrelated real-time and historical data at shop-floor level. A Common Interface Data Exchange Model (CIDEM) is hereby introduced towards unifying continuously produced data from heterogeneous and distributed information sources - on different levels and granularities - into a shared vocabulary that can unobtrusively communicate with industrial standards and protocols (i.e. B2MML, gbXML, MIMOSA). For further enhancing the information model a conceptual definition is employed leading to a semantically enriched model which enables more understandable high level knowledge diffusion. This model has been applied to various industrial applications, one of the most important being industrial safety, through incident recognition.
WOS:000393551200072
2016
978-1-5090-2870-2
New York
5
IEEE International Conference on Industrial Informatics INDIN
487
491
REVIEWED
Event name | Event place | Event date |
Poitiers, FRANCE | JUL 19-21, 2016 | |