DocumentCode :
666397
Title :
Knowledge-based integration of industrial plant models
Author :
Abele, Lisa ; Grimm, Stephan
Author_Institution :
Siemens AG - Corp. Technol., Munich, Germany
fYear :
2013
fDate :
10-13 Nov. 2013
Firstpage :
4392
Lastpage :
4397
Abstract :
The planning and engineering of industrial plants is characterized by a heterogeneous landscape of tools and data formats covering multiple engineering aspects, such as electrical engineering, mechanical engineering, software engineering, etc. To provide plant engineers in different roles with an integrated view on engineering data, we propose a conceptual modelling approach based on MOF layering for representing plant knowledge across multiple disciplins. Furthermore, we suggest to instantiate this conceptual modelling approach on a semantic technology stack featuring semantic data representation based on RDF and web-based plant navigation in a semantic Wiki.
Keywords :
Web sites; industrial plants; knowledge based systems; production engineering computing; semantic Web; MOF layering; RDF; Web-based plant navigation; industrial plant models; knowledge-based integration; semantic Wiki; semantic data representation; semantic technology; Data models; Industrial plants; Knowledge engineering; Object oriented modeling; Semantics; Solid modeling; Unified modeling language;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Industrial Electronics Society, IECON 2013 - 39th Annual Conference of the IEEE
Conference_Location :
Vienna
ISSN :
1553-572X
Type :
conf
DOI :
10.1109/IECON.2013.6699842
Filename :
6699842
Link To Document :
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