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
来源
2017 INTERNATIONAL CONFERENCE ON ENGINEERING, TECHNOLOGY AND INNOVATION (ICE/ITMC) | 2017年
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
  • [21] The Stratosphere platform for big data analytics
    Alexandrov, Alexander
    Bergmann, Rico
    Ewen, Stephan
    Freytag, Johann-Christoph
    Hueske, Fabian
    Heise, Arvid
    Kao, Odej
    Leich, Marcus
    Leser, Ulf
    Markl, Volker
    Naumann, Felix
    Peters, Mathias
    Rheinlaender, Astrid
    Sax, Matthias J.
    Schelter, Sebastian
    Hoeger, Mareike
    Tzoumas, Kostas
    Warneke, Daniel
    VLDB JOURNAL, 2014, 23 (06) : 939 - 964
  • [22] Big Data Platform for Educational Analytics
    Munshi, Amr A.
    Alhindi, Ahmad
    IEEE ACCESS, 2021, 9 : 52883 - 52890
  • [23] Big Data: Applications and Challenges
    Bayona Ore, Sussy
    Palomino Guerrero, Carla
    VISION 2020: SUSTAINABLE ECONOMIC DEVELOPMENT AND APPLICATION OF INNOVATION MANAGEMENT, 2018, : 6237 - 6244
  • [24] A Distributed Recommendation Platform for Big Data
    Valcarce, Daniel
    Parapar, Javier
    Barreiro, Alvaro
    JOURNAL OF UNIVERSAL COMPUTER SCIENCE, 2015, 21 (13) : 1810 - 1829
  • [25] Research of Big Data Processing Platform
    Liu, Xiangju
    GREEN POWER, MATERIALS AND MANUFACTURING TECHNOLOGY AND APPLICATIONS III, PTS 1 AND 2, 2014, 484-485 : 922 - 926
  • [26] Secure Sensitive Data Sharing on a Big Data Platform
    Dong, Xinhua
    Li, Ruixuan
    He, Heng
    Zhou, Wanwan
    Xue, Zhengyuan
    Wu, Hao
    TSINGHUA SCIENCE AND TECHNOLOGY, 2015, 20 (01) : 72 - 80
  • [27] Secure Sensitive Data Sharing on a Big Data Platform
    Xinhua Dong
    Ruixuan Li
    Heng He
    Wanwan Zhou
    Zhengyuan Xue
    Hao Wu
    TsinghuaScienceandTechnology, 2015, 20 (01) : 72 - 80
  • [28] A Big Data Aggregation, Analysis and Exploitation Integrated Platform for Increasing Social Management Intelligence
    Sand, Greg
    Tsitouras, Leonidas
    Dimitrakopoulos, George
    Chatzigiannakis, Vassilis
    2014 IEEE INTERNATIONAL CONFERENCE ON BIG DATA (BIG DATA), 2014,
  • [29] A systematic mapping study of data mining for big data scenarios
    Chicon, Patricia Mariotto Mozzaquatro
    Roos-Frantz, Fabricia
    Frantz, Rafael Zancan
    Sawicki, Sandro
    REVISTA GEDECON REVISTA GESTAO E DESENVOLVIMENTO EM CONTEXTO, 2021, 9 (01): : 1 - 23
  • [30] Big Data Analytic Empowered Grid Applications - Is PMU a big data issue?
    Yang, Bo
    Yamazaki, June
    Saito, Nao
    Kokai, Yutaka
    Xie, Da
    2015 12TH INTERNATIONAL CONFERENCE ON THE EUROPEAN ENERGY MARKET (EEM), 2015,