2012
DOI: 10.1007/s10796-012-9395-4
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Ontology-based data access: An application to intermodal logistics

Abstract: Your article is protected by copyright and all rights are held exclusively by Springer Science +Business Media New York. This e-offprint is for personal use only and shall not be selfarchived in electronic repositories. If you wish to self-archive your article, please use the accepted manuscript version for posting on your own website. You may further deposit the accepted manuscript version in any repository, provided it is only made publicly available 12 months after official publication or later and provided… Show more

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Cited by 15 publications
(9 citation statements)
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“…As we can observe in Figure 3, OBDA-based solutions show higher overall computation times than the RDB-based solution -from 1 to 2 orders of magnitude -together with an apparently growing trend associated to the time span of the simulation. However, as we have shown in [4], a trend test performed on the results obtained with the best OBDA solutions for various KPIs, displays no statistically significant increase in the CPU time required to answer various queries with respect to the number of days. Considering that for most KPIs we can adopt an "eager" solution similar to that considered in Section 3, we can conclude that OBDA is practically feasible for monitoring medium-to-large scale systems.…”
Section: Monitoring Of Intermodal Systemsmentioning
confidence: 64%
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“…As we can observe in Figure 3, OBDA-based solutions show higher overall computation times than the RDB-based solution -from 1 to 2 orders of magnitude -together with an apparently growing trend associated to the time span of the simulation. However, as we have shown in [4], a trend test performed on the results obtained with the best OBDA solutions for various KPIs, displays no statistically significant increase in the CPU time required to answer various queries with respect to the number of days. Considering that for most KPIs we can adopt an "eager" solution similar to that considered in Section 3, we can conclude that OBDA is practically feasible for monitoring medium-to-large scale systems.…”
Section: Monitoring Of Intermodal Systemsmentioning
confidence: 64%
“…Scenarios are simulated for an increasing number of days to evaluate scalability, and all of them share common settings as far as number of train travels, number of cars per train, and timetabling are concerned. Unexpected delays as well as the number of customers per terminal follow a probabilistic model -see [4] for more details. In Figure 3 we display the results 5 obtained in the case of an heavy utilization scenario to compute a specific KPI, namely the average number of ITUs unloaded per hour.…”
Section: Monitoring Of Intermodal Systemsmentioning
confidence: 99%
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“…The simulator models an Intermodal Logistics System (ILS) which support receiving, storing and shipping goods packaged in Intermodal Transport Units (ITUs, also known as "containers"). A detailed description of the context is provided in [CCT13]. Here we restrict our attention to ILSs wherein rail transportation is supported by a network of terminals equipped with systems for fast ITU handling.…”
Section: Ontomil Simulatormentioning
confidence: 99%