Guide to Maritime Informatics

Artikis A. and Zissis D. (editors) - Springer, ISBN 978-3-030-61851-3 - 2021


In the last 25 years, information systems have had a disruptive effect on society and business. Up until recently though, the majority of passengers and goods were transported by sea in many ways similar to the way they were at the turn of the previous century. Gradually, advanced information technologies...

A Synopses Data Engine for Interactive Extreme-Scale Analytics

Antonis Kontaxakis,Nikos Giatrakos,Antonios Deligiannakis - Proceedings of ACM International Conference on Information and Knowledge Management 2020(CIKM ’20) - 2020


We detail the novel architecture of a Synopses Data Engine (SDE) which combines the virtues of parallel processing and stream summarization towards interactive analytics at scale. Our SDE, built on top of Apache Flink, has a unique design that supports a very wide variety of synopses, allows for dynamically adding...

Vessel detection using image processing and Neural Networks

Konstantina Bereta, Raffaele Grasso & Dimitris Zissis - 2020 IEEE International Geoscience and Remote Sensing Symposium (IEEE IGARSS 2020) - 2020


The establishment of the Automatic Identification System (AIS) was revolutionary for Maritime Situational Awareness, as it allowed for the tracking of vessels carrying an AIS transponder, which is mandatory for, and not limited to, the majority of the commercial fleet. Despite the benefits of the widespread use of AIS for...

INforE: Interactive Cross-platform Analytics for Everyone

Nikos Giatrakos; David Arnu; Theodoros Bitsakis; Antonios Deligiannakis; Minos Garofalakis; Ralf Klinkenberg; Aris Konidaris; Antonis Kontaxakis; Yannis Kotidis; Vasilis Samoladas; Alkis Simitsis; George Stamatakis; Fabian Temme; Mate Torok; Edwin Yaqub; Arnau Montagud; Miguel Ponce de León; Holger Arndt; Stefan Burkard - CIKM 2020 - 2020


We present INforE, a prototype supporting non-expert programmers in performing optimized, cross-platform, streaming analytics at scale. INforE offers: a) a new extension to the RapidMiner Studio for graphical design of Big streaming Data workflows, (b) a novel optimizer to instruct the execution of workflows across Big Data platforms and clusters,...

Automatic Maritime Object Detection Using Satellite imagery

Konstantina Bereta, Raffaele Grasso & Dimitris Zissis - IEEE Oceans 2020 - 2020


In this paper we present an approach for performing object classification and segmentation in satellite images for the Maritime domain. We employ neural network architectures for object classification and segmentation tasks in order to identify different classes of objects in satellite imagery for the maritime domain, such as vessels, land...

This project has received funding from the European Union Horizon 2020 research and innovation programme under grant agreement No 825070.

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