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  4. mobilityDCAT-AP: A Metadata Specification for Enhanced Cross-Border Mobility Data Sharing
 
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2025
Conference Paper
Title

mobilityDCAT-AP: A Metadata Specification for Enhanced Cross-Border Mobility Data Sharing

Abstract
Integrated and efficient mobility requires data sharing among the involved stakeholders. In this direction, regulators and transport authorities have been defining policies to foster mobility data’s digitalisation and online publication. However, creating several heterogeneous data portals for mobility data resulted in a fragmented ecosystem that challenges data accessibility. In this context, metadata is a key enabler to foster the findability and reusability of relevant datasets, but their interoperability across different data portals should be ensured. Moreover, each domain presents specificities on the relevant information that should be encoded through metadata. To solve these issues within the mobility domain, we present mobilityDCAT-AP, a reference metadata specification for mobility data portals defined by putting together domain experts and the Semantic Web community. We report on the work done to develop the metadata model behind mobilityDCAT-AP and the best practices followed in its implementation and publication. Finally, we describe the available educational resources and the activities performed to ensure broader adoption of mobilityDCAT-AP across mobility data portals. We present success stories from early adopters and discuss the challenges they encountered in implementing a metadata specification based on Semantic Web technologies.
Author(s)
Scrocca, Mario
Molinas Comet, Lina Teresa
Fraunhofer-Institut für Angewandte Informationstechnik FIT  
Witsch, Benjamin
Mustafa, Daham Mohammed
Fraunhofer-Institut für Angewandte Informationstechnik FIT  
Lange-Bever, Christoph  orcid-logo
Fraunhofer-Institut für Angewandte Informationstechnik FIT  
Comerio, Marco
Lubrich, Peter
Mainwork
The Semantic Web. 22nd European Semantic Web Conference, ESWC 2025. Proceedings. Part II  
Conference
European Semantic Web Conference 2025  
Open Access
DOI
10.1007/978-3-031-94578-6_13
Additional link
Full text
Language
English
Fraunhofer-Institut für Angewandte Informationstechnik FIT  
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