KnoDL as a Tool for Harmonizing Reference and Regulatory Data in Cross-Border Transport Systems

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Auteur principal: Pospelov, Dmitriy
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Publié: Zenodo 2025
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author Pospelov, Dmitriy
author_facet Pospelov, Dmitriy
contents <p><span>This publication introduces KnoDL, a declarative matching technology designed to overcome data fragmentation in international transport logistics<sup></sup><sup></sup><sup></sup><sup></sup></span>. <span>It creates a unified digital layer for cross-border transport by using formal, legally explainable rules, ensuring reproducible and legally sound data transformation<sup></sup><sup></sup><sup></sup><sup></sup></span>.</p> <div><span>Unlike ML/AI approaches, KnoDL requires no training phase or large historical datasets, offering rapid implementation and low costs<sup></sup><sup></sup><sup></sup><sup></sup></span>. <span>Key benefits include reduced document preparation time, minimized data errors and conflicts, increased automation, and enhanced explainability and legal verifiability of data processing</span></div> <div> </div> <div><span><span>KnoDL is positioned as a crucial tool for tasks demanding transparency, reliability, and legal verifiability in data processing, making it a key element for the future of multimodal transport<sup></sup><sup></sup><sup></sup><sup></sup></span>.</span></div>
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spellingShingle KnoDL as a Tool for Harmonizing Reference and Regulatory Data in Cross-Border Transport Systems
Pospelov, Dmitriy
KnoDL
logistics
data harmonization
digitalization
cross-border transport
regulatory compliance
автоматизация
цифровизация
логистика
унификация данных
Digital logistics
international transport
digitalization barriers
reference data
declarative matching
cross-border integration
eFTI
eCMR
eTIR
global supply chains
interoperability
международные перевозки
трансграничная интеграция
автоматизация в логистике
<p><span>This publication introduces KnoDL, a declarative matching technology designed to overcome data fragmentation in international transport logistics<sup></sup><sup></sup><sup></sup><sup></sup></span>. <span>It creates a unified digital layer for cross-border transport by using formal, legally explainable rules, ensuring reproducible and legally sound data transformation<sup></sup><sup></sup><sup></sup><sup></sup></span>.</p> <div><span>Unlike ML/AI approaches, KnoDL requires no training phase or large historical datasets, offering rapid implementation and low costs<sup></sup><sup></sup><sup></sup><sup></sup></span>. <span>Key benefits include reduced document preparation time, minimized data errors and conflicts, increased automation, and enhanced explainability and legal verifiability of data processing</span></div> <div> </div> <div><span><span>KnoDL is positioned as a crucial tool for tasks demanding transparency, reliability, and legal verifiability in data processing, making it a key element for the future of multimodal transport<sup></sup><sup></sup><sup></sup><sup></sup></span>.</span></div>
title KnoDL as a Tool for Harmonizing Reference and Regulatory Data in Cross-Border Transport Systems
topic KnoDL
logistics
data harmonization
digitalization
cross-border transport
regulatory compliance
автоматизация
цифровизация
логистика
унификация данных
Digital logistics
international transport
digitalization barriers
reference data
declarative matching
cross-border integration
eFTI
eCMR
eTIR
global supply chains
interoperability
международные перевозки
трансграничная интеграция
автоматизация в логистике
url https://doi.org/10.5281/zenodo.15626277