1085
5 DISCUSSION
The machine-readable PC is a powerful tool for
hydrography and GIS environments, and its
implementation offers significant benefits but also
potential risks.
The biggest advantage of an automatic data
visualization catalogue is that it ensures that all ECDIS
systems interpret data in the same way, thereby
reducing any errors in symbolization and accelerating
work. In the future, when an update is needed, the PC
can be updated automatically without modifying
individual visualization rules. The update work can be
done ‘in the background’, without freezing standards
for long periods of time. This approach shortens the
implementation cycle for new versions, which will be
continuously adapted to current technology. In
addition, common chart rendering rules allow for
integrated multi-layer charts, enabling interoperability
and the combination of multiple S-100 products.
Formally, a PC has an XML structure and can be
automatically validated against XSD rules. This
approach allows for quality control and catalogue
compliance.
The challenge lies in its technical complexity - the
PC catalogue is based on complex relationships and
data flows, and even the smallest errors in the
catalogue, such as a typo or an incorrect namespace [14]
can prevent the image from being generated correctly
in the ECDIS systems. The same applies to XSD
schemas, if they are incorrect or incorrectly selected, all
products may be misinterpreted. Another threat may
be a deliberate minor change in the entire PC, followed
by automatic distribution to recipients. Thousands of
schemas use the wrong rule, resulting in quality
degradation, misinterpretation and in extreme cases,
navigational risk.
6 CONCLUSIONS
Despite these risks, automation and PC significantly
accelerates work and improves final product quality,
but this must go hand in hand with testing, continuous
monitoring and change control processes, especially in
operational environments. If this is ensured, the
benefits of a machine-readable catalogue far outweigh
the potential risks. [15]
ACKNOWLEDGMENT
The herein study has been supported by Gdynia Maritime
University internal grant #WN/2025/PZ/01
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