DocumentCode :
474909
Title :
Ontology driven railway RCM data integration
Author :
Langer, Gregor ; Lewis, R. ; Roberts, Clive
Author_Institution :
Germany, Siemens Transp. Syst., Erlangen
fYear :
2008
fDate :
18-20 June 2008
Firstpage :
1
Lastpage :
8
Abstract :
This paper describes the application of a new knowledge representation standard to develop domain ontologies. It describes how Web Ontology Language (OWL) enables the capture of the semantics of railway RCM data structures to represent actual and historic asset RCM status information. This was achieved in the context of European railway integration, and in particular the InteGRail project, where the objective was to support improved decision making through the creation of an application independent railway ontology. This paper describes how this ontology was created with a structured design methodology, using design patterns extended by railway fault concepts and using the extended features of Description Logic (OWL-DL). The creation of a test architecture enabled sample data to be transformed into semantic information. This information was distributed across Europe, enabling the testing of reasoning mechanisms to access the OWL-DL content, finding implicit meaning from the explicit content. Initial tests indicate that the implementation of RCM based OWL ontologies can support more effective information management. This leads to improved maintenance processes and more effective associated operations.
Keywords :
condition monitoring; data structures; decision making; formal logic; inference mechanisms; maintenance engineering; ontologies (artificial intelligence); railway engineering; semantic Web; Web ontology language; decision making; description logic; design pattern; explicit content; implicit meaning; information management; knowledge representation; maintenance process; ontology driven railway RCM data integration; railway RCM data structure; railway condition monitoring; railway fault concept; reasoning mechanism; semantic information; structured design methodology;
fLanguage :
English
Publisher :
iet
Conference_Titel :
Railway Condition Monitoring, 2008 4th IET International Conference on
Conference_Location :
Derby
ISSN :
0537-9989
Print_ISBN :
978-0-86341-927-0
Type :
conf
Filename :
4580849
Link To Document :
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