Title: Semantic data integration and monitoring in the railway domain

Authors: Jan-Gregor Fischer; Mikhail Roshchin; Gerhard Langer; Michael Pirker

Addresses: Siemens AG, Corporate Technology, Agent Technologies Group, Otto-Hahn-Ring 6, 81739 Munich, Germany. ' Siemens AG, Corporate Technology, Agent Technologies Group, Otto-Hahn-Ring 6, 81739 Munich, Germany. ' Siemens AG, Industry Sector, Industry Solutions Division, Werner-von-Siemens-Str. 60, 91052 Erlangen, Germany. ' Siemens AG, Corporate Technology, Agent Technologies Group, Otto-Hahn-Ring 6, 81739 Munich, Germany

Abstract: Information integration is a key for further growth of efficiency in management decisions for the railway domain. In the context of the EU project InteGRail (funded in the 6th framework programme) an integration approach leveraged by ontologies known from the semantic web and logic-based reasoning mechanisms has been successfully demonstrated. To this effect existing heterogeneous monitoring data acquired across the European railways (in the context of rolling stock, infrastructure, operations and traffic management) is logically integrated according to a formal information model. Based on distributed reasoning mechanism decentralised data and inferred knowledge does not have to be aggregated in a central repository but can be transparently accessed by applications independently from where it is acquired. We explain how the proposed techniques facilitate integration, analysis and interpretation of distributed observation data in the railway domain. In addition, the implementation of the presented approach is presented by a demonstration scenario, which integrates existing real-world data for symptom identification and incipient fault detection.

Keywords: data integration; system integration; information reuse; railways; semantic modelling; ontology; distributed reasoning; data monitoring; maintenance; information integration; semantic web; logic-based reasoning; rolling stock; railway infrastructure; railway operations; traffic management.

DOI: 10.1504/IJIDS.2012.047070

International Journal of Information and Decision Sciences, 2012 Vol.4 No.2/3, pp.148 - 166

Published online: 26 May 2012 *

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