Fusion of Multi-modal Underwater Ship Inspection Data with Knowledge Graphs

The increase in exploitation of marine resources draws significant attention to the
importance of underwater ship inspections which is currently performed based
on regular visual underwater observations carried out by remotely operated vehicles
(ROVs) through collection of various data. In this work we propose to
perform multi-modal data fusion where Knowledge Graphs are chosen for data
representation for automated report generation by enabling big data analytics.