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Case Study

Maritime Transportation

The Maritime Transportation Research pilot aims to improve the management of maritime data and scientific knowledge to enable safer, more sustainable, and more efficient maritime operations. At its core is the maritime knowledge graph that tackles fragmented maritime data sources by unifying diverse information into a single accessible platform.

This innovative approach facilitates data-driven decision-making for maritime stakeholders, including operators, policymakers, and researchers. Critical maritime industry needs are addressed through data standardization, safety enhancement, and emissions reduction. The pilot will help improve vessel tracking, optimise fuel consumption, and support regulatory compliance in different regions by reconciling data sources and incorporating real-time monitoring capabilities.

The knowledge graph's structure efficiently connects various data types - Publications, Regulations, Funding Agencies, and Research Projects - through nodes and relationships. These connections map out research fields, citations, and funding networks, enabling stakeholders to identify maritime trends and understand relationships between publications, researchers, funding sources, and vessels. This interconnected approach provides the maritime transportation research community with powerful tools for knowledge discovery, while emphasizing research impact and reproducibility.


What we have achieved so far

The pilot has made significant progress in several key areas:

  • Designed the domain knowledge space and graph data model that integrates maritime publications, regulations, research projects, and datasets within the OpenAIRE "Transportation Research" Gateway (https://beopen.openaire.eu/)
  • Provided and integrated sample maritime publications and regulations for testing SciLake components and services, establishing crucial benchmarks for system refinement
  • Facilitated knowledge transfer through active participation integration sessions for the Maritime Knowledge Graph

Next steps

  • Expansion and enrichment of the maritime knowledge graph with additional data sets from various sources.
  • Initiate usability testing by engaging key maritime stakeholders, including researchers, policy makers and industry experts, to evaluate system functionality and usability.
  • Strengthening collaboration and dissemination activities by presenting SciLake services at key transport research events.

Related News

  • Press Release: Pioneering Knowledge Graph in Maritime Transport Research
  • Presentation at the Transport Research Arena 2024 “AI-assisted services for content acquisition and creation interlinking in transport research”

Organisations Involved

Contacts

Afroditi Anagnostopoulou
Xenophon Kitsios

Resources & Links