Using Signifiers for Data Integration in Rail Automation
Alexander Wurl, Andreas Falkner, Alois Haselböck, Alexandra Mazak
2017
Abstract
In Rail Automation, planning future projects requires the integration of business-critical data from heterogeneous data sources. As a consequence, data quality of integrated data is crucial for the optimal utilization of the production capacity. Unfortunately, current integration approaches mostly neglect uncertainties and inconsistencies in the integration process in terms of railway specific data. To tackle these restrictions, we propose a semi-automatic process for data import, where the user resolves ambiguous data classifications. The task of finding the correct data warehouse classification of source values in a proprietary, often semi-structured format is supported by the notion of a signifier, which is a natural extension of composite primary keys. In a case study from the domain of asset management in Rail Automation we evaluate that this approach facilitates high-quality data integration while minimizing user interaction.
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in Harvard Style
Wurl A., Falkner A., Haselböck A. and Mazak A. (2017). Using Signifiers for Data Integration in Rail Automation . In Proceedings of the 6th International Conference on Data Science, Technology and Applications - Volume 1: DATA, ISBN 978-989-758-255-4, pages 172-179. DOI: 10.5220/0006416401720179
in Bibtex Style
@conference{data17,
author={Alexander Wurl and Andreas Falkner and Alois Haselböck and Alexandra Mazak},
title={Using Signifiers for Data Integration in Rail Automation},
booktitle={Proceedings of the 6th International Conference on Data Science, Technology and Applications - Volume 1: DATA,},
year={2017},
pages={172-179},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0006416401720179},
isbn={978-989-758-255-4},
}
in EndNote Style
TY - CONF
JO - Proceedings of the 6th International Conference on Data Science, Technology and Applications - Volume 1: DATA,
TI - Using Signifiers for Data Integration in Rail Automation
SN - 978-989-758-255-4
AU - Wurl A.
AU - Falkner A.
AU - Haselböck A.
AU - Mazak A.
PY - 2017
SP - 172
EP - 179
DO - 10.5220/0006416401720179