Big Data Exploitation for Maritime Applications A multi-segment platform to enable maritime big data scenarios

被引:0
|
作者
Kokkinakos, Panagiotis [1 ]
Michalitsi-Psarrou, Ariadni [1 ]
Mouzakitis, Spiros [1 ]
Alvertis, Iosif [1 ]
Askounis, Dimitris [1 ]
Koussouris, Sotiris [2 ]
机构
[1] Natl Tech Univ Athens, Athens, Greece
[2] Suite 5 Ltd, London, England
关键词
Big Data; Maritime; Repository; Linked Data; Semantics;
D O I
暂无
中图分类号
TP39 [计算机的应用];
学科分类号
081203 ; 0835 ;
摘要
Although a plethora of individual and disconnected applications can be found serving the "data exploitation for marine-related applications" profile, there is a lack of networked initiatives bringing together organisations and knowledge from different scientific and policy domains, as well as geographical areas. The present paper is a work under the European funded research project BigDataOcean(1) and its main objective is to build on this identified need for maritime stakeholders and establish a completely new value chain of interrelated data streams coming from diverse sectors, leveraging existing modern technological breakthroughs in the areas of the big data driven economy. The main output of the proposed approach will be novel services and applications for maritime-related industries, organisations and stakeholders through a multi-segment platform that will combine data of different velocity, variety and volume and will serve as a constantly growing pool of cross-sectorial and multi-lingual linked data, bringing together organisations of different activity fields and needs.
引用
收藏
页码:1131 / 1136
页数:6
相关论文
共 50 条
  • [1] A Big Data Architecture for Managing Oceans of Data and Maritime Applications
    Lytra, Ioanna
    Vidal, Maria-Esther
    Orlandi, Fabrizio
    Attard, Judie
    2017 INTERNATIONAL CONFERENCE ON ENGINEERING, TECHNOLOGY AND INNOVATION (ICE/ITMC), 2017, : 1216 - 1226
  • [2] Big Data in the Maritime Industry
    Mirovic, Maris
    Milicevic, Mario
    Obradovic, Ines
    NASE MORE, 2018, 65 (01): : 56 - 62
  • [3] A Spatial Big Data Framework for Maritime Traffic Data
    Lei, Bao
    Le, Yang
    2018 3RD INTERNATIONAL CONFERENCE ON COMPUTATIONAL INTELLIGENCE AND APPLICATIONS (ICCIA), 2018, : 244 - 248
  • [4] Mashup Tools for Big Data Analysis in Maritime Surveillance
    Melillos, George
    Themistocleous, Kyriacos
    Danezis, Chris
    Michaelides, Silas
    Hadjimitsis, Diofantos G.
    Jacobsen, Sven
    Tings, Bjoern
    COUNTERTERRORISM, CRIME FIGHTING, FORENSICS, AND SURVEILLANCE TECHNOLOGIES IV, 2020, 11542
  • [5] Big Data Forecasting for Improving Maritime Search Operations
    Martinson, Eric
    Troyer, Jon
    Gillies, Andy
    OCEANS 2021: SAN DIEGO - PORTO, 2021,
  • [6] Big data and artificial intelligence in maritime transport research
    Wang, Shuaian
    Yan, Ran
    Xu, Min
    MARITIME TRANSPORT RESEARCH, 2024, 7
  • [7] Designing Intelligent Coastal Surveillance based on Big Maritime Data
    Octavian, Amarulla
    Jatmiko, Wisnu
    2020 5TH INTERNATIONAL WORKSHOP ON BIG DATA AND INFORMATION SECURITY (IWBIS 2020), 2020, : 1 - 7
  • [8] Operational Analysis of Container Ships by Using Maritime Big Data
    Oh, Min-Jae
    Roh, Myung-Il
    Park, Sung-Woo
    Chun, Do-Hyun
    Son, Myeong-Jo
    Lee, Jeong-Youl
    JOURNAL OF MARINE SCIENCE AND ENGINEERING, 2021, 9 (04)
  • [9] Small Satellites, Big Data: Uncovering the Invisible in Maritime Security
    Pekkanen, Saadia M.
    Aoki, Setsuko
    Mittleman, John
    INTERNATIONAL SECURITY, 2022, 47 (02) : 177 - 216
  • [10] Optimization of maritime intelligence facilities based on big data algorithms
    Wang, Ziying
    ACM International Conference Proceeding Series, 2023, : 13 - 17