mobilityDCAT-AP: a Metadata Specification for Enhanced Cross-border Mobility Data Sharing

2025-03-14

AI Summary

To address poor metadata interoperability, low discoverability, and limited reusability arising from heterogeneous multi-source portals in cross-border transport data sharing, this study proposes mobilityDCAT-AP—the first standardized metadata specification integrating domain-specific transport knowledge with Semantic Web technologies. Built upon DCAT-AP, it extends the model using OWL, SKOS, and RDF, and rigorously adheres to the FAIR principles to ensure cross-border semantic interoperability and alignment with regulatory policy requirements. As an internationally recognized open standard, mobilityDCAT-AP has been adopted by multiple European transport data portals, demonstrably improving cross-platform data retrieval efficiency and integration capability. Complemented by an open-source toolchain and dedicated training resources, the specification facilitates practical deployment and sustainable adoption across diverse stakeholder communities.

Technology Category

• Application Domains: Transportation
• Natural Language Processing: Machine Translation, Multilinguality, Cross-Lingual NLP
• Data Mining & Knowledge Management: Linked Open Data, Knowledge Graphs & KB Completion

Application Category

• Systems and Infrastructure for Web, Mobile and WoT: Data management and stream processing for Web, mobile and wireless applications
• Security and Privacy: Data transparency and provenance
• Semantics and Knowledge: Scalable techniques for the creation, curation, publication, maintenance, and consumption of large, Web-based, structured, reusable, knowledge graphs and ontologies

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 the digitalisation and online publication of mobility data. However, the creation of 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 specified 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.

Problem

• Fragmented mobility data portals hinder data accessibility.
• Metadata interoperability across portals is essential for data sharing.
• Domain-specific metadata encoding is needed for mobility data.

Innovation

• Developed mobilityDCAT-AP metadata specification
• Enhanced cross-border mobility data sharing
• Integrated Semantic Web technologies