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Guide to Maritime Informatics

  • Book
  • © 2021

Overview

Editors:
  1. Alexander Artikis

    1. Department of Maritime Studies, University of Piraeus, Piraeus, Greece

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  2. Dimitris Zissis

    1. Department of Product and Systems Design Engineering, University of the Aegean, Syros, Greece

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    You can also search for this editor in PubMed   Google Scholar

  • This unique volume formalises a body of knowledge for the emerging field of maritime informatics
  • Examines the use of information technology and information systems in maritime transportation
  • An overview of the main technological innovations which are having a disruptive effect on the maritime industry

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Table of contents (11 chapters)

  1. Front Matter

    Pages i-xv
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  2. Maritime Data

    1. Front Matter

      Pages 1-1
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    2. Maritime Reporting Systems

      • Konstantina Bereta, Konstantinos Chatzikokolakis, Dimitris Zissis
      Pages 3-30

    3. Navigating the Ocean of Publicly Available Maritime Data

      • Theodoros Tzouramanis
      Pages 31-69

  3. Off-Line Maritime Data Processing

    1. Front Matter

      Pages 71-71
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    2. Maritime Data Processing in Relational Databases

      • Laurent Etienne, Cyril Ray, Elena Camossi, Clément Iphar
      Pages 73-118

    3. Maritime Data Analytics

      • Panagiotis Tampakis, Stylianos Sideridis, Panagiotis Nikitopoulos, Nikos Pelekis, Yannis Theodoridis
      Pages 119-147

    4. Visual Analytics of Vessel Movement

      • Natalia Andrienko, Gennady Andrienko
      Pages 149-170

  4. On-Line Maritime Data Processing

    1. Front Matter

      Pages 171-171
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    2. Online Mobility Tracking Against Evolving Maritime Trajectories

      • Kostas Patroumpas
      Pages 173-201

    3. Link Discovery for Maritime Monitoring

      • Georgios M. Santipantakis, Christos Doulkeridis, George A. Vouros
      Pages 203-231

    4. Composite Maritime Event Recognition

      • Manolis Pitsikalis, Alexander Artikis
      Pages 233-260

  5. Applications

    1. Front Matter

      Pages 261-261
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    2. Uncertainty Handling for Maritime Route Deviation

      • Anne-Laure Jousselme, Clément Iphar, Giuliana Pallotta
      Pages 263-297

    3. Maritime Network Analysis: Connectivity and Spatial Distribution

      • César Ducruet, Justin Berli, Giannis Spiliopoulos, Dimitris Zissis
      Pages 299-317

    4. Shipping Economics and Analytics

      • Roar Adland
      Pages 319-333
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Keywords

About this book

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 are being introduced, in an attempt to make shipping safer, greener, more efficient, and transparent. The emerging field of Maritime Informatics studies the application of information technology and information systems to maritime transportation.


Maritime Informatics can be considered as both a field of study and domain of application. As an application domain, it is the outlet of innovations originating from data science and artificial intelligence; as a field of study, it is positioned between computer science and marine engineering. This new field’s complexity lies within this duality because it is faced with disciplinary barriers yet demands a systemic, transdisciplinary approach.  At present, there is a growing body of knowledge that remains undocumented in a single source or textbook designed to assist students and practitioners.


This highly useful textbook/reference starts by introducing required knowledge, algorithmic approaches, and technical details, before presenting real-world applications.  The aim is to present interested audiences with an overview of the main technological innovations having a disruptive effect on the maritime industry, as well as to discuss principal ideas, methods of operation and applications, and future developments. The material in this unique volume provides requisite core knowledge for undergraduate or postgraduate students, employing an analytical approach with numerous real-world examples and case studies.

Editors and Affiliations

  • Department of Maritime Studies, University of Piraeus, Piraeus, Greece

    Alexander Artikis

  • Department of Product and Systems Design Engineering, University of the Aegean, Syros, Greece

    Dimitris Zissis

About the editors

Alexander Artikis is an Assistant Professor at the University of Piraeus and a Research Associate at the National Centre for Scientific Research (NCSR) “Demokritos”. His research interests lie in the fields of Artificial Intelligence and Data Science. 


Dimitrios Zissis is Associate Professor at the Department of Product and Systems Design Engineering, University of the Aegean, Syros, Greece.

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