Conference paper Open Access

Applying the Big Data Technologies for Enhancing Maritime Interoperability Framework

Zdravko Paladin; Nexhat Kapidani; Enis Kočan; Tommaso Nicoletti; Georgios Vosinakis; Alkiviadis Astyakopoulos; Christos Bolakis; Marios Moutzouris

In this paper, we present the core applications of data lakes and other big data infrastructure technologies for the purpose of enhancing the maritime interoperability framework and ensuring resilient collaboration among agencies. The approach is based on the deployment of multi-layered & semantically enabled Data Lakes for storing various maritime data collected from heterogeneous sensors, and on the information exchange process through the Common Information Sharing Environment (CISE) network using advanced Command and Control (C2) platforms. The results of this paper are derived from the EU-funded project EFFECTOR, highlighting the significant contribution of advanced solutions using Artificial Intelligence algorithms and supporting UAV and C2 technologies to various operations at sea. The validation survey results collected from end-users after the execution of the maritime trials are presented as well.

Files (739.3 kB)
Name Size
Paladin et al, TELFOR 2022 paper_effector_v5_final.docx
739.3 kB Download
Views 46
Downloads 11
Data volume 8.1 MB
Unique views 37
Unique downloads 11


Cite as