Bill Karakostas1,* and Antonis Antonopoulos2
Conference Paper
Proceedings of 15th International Marine Design Conference (IMDC-2024)
June 2-6, 2024
Amsterdam, the Netherland
ABSTRACT
We propose the concept of a Knowledge Graph as a data management and inference machinery that
underpins digital twins of ships. The Knowledge Graph is a directed graph connecting dependent and
independent model variables of interest in the digital twin, where the correlations between variables are
continuously updated based on data received from the physical ship. The paper outlines a methodology for
constructing the Knowledge Graph and proposes metrics that help to calculate the effectiveness of
decarbonization solutions based on changes to the strength of data correlations. The proposed methodology
allows for the extrapolation of decarbonization technology potential across specific vessels, fleets,
operational patterns, and lifecycle phases.
KEY WORDS
Digital Twin, Knowledge Graph, Correlation Graph, Ship Decarbonisation, Wind Assisted Propulsion
