Maritime data technology landscape and value chain exploiting oceans of data for maritime applications

José Ferreira, Carlos Agostinho, Rui Lopes, Konstantinos Chatzikokolakis, Dimitris Zissis, Maria Esther Vidal, Spyros Mouzakitis

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

7 Citations (Scopus)

Abstract

Maritime areas covers a large percentage of our world, being most of this area unexplored. Despite this, the sea has one of the most valuable and mostly exploited 'economic platforms' of mankind, with applications in different sectors (as fishing industry, transportation cargo, etc.). Although this situation and the great evolution in technology can contribute to better know of the sea, this has not been happening. Given that a systematic collection of maritime data has already been carried out, yet is still dispersed and not used in its entirety. This is one of the objectives of the H2020 BigDataOcean project (http://www.bigdataocean.eu/site/), collecting the various data sources and thus being able to treat them together in order to obtain better results. This paper presents the analysis of the current landscape of big data, starting from the identification of existing ones, used tools and methodologies to be integrated in the project services, and platform with the aim of retrieving and analyzing the maritime data is presented. Then, the requirement engineering methodology is presented, being the methodology used during the project to identify the stakeholders, data sources, data value chain and the technologic gaps, resulting the in the identification of the first iteration of the requirements.

Original languageEnglish
Title of host publication2017 International Conference on Engineering, Technology and Innovation: Engineering, Technology and Innovation Management Beyond 2020: New Challenges, New Approaches, ICE/ITMC 2017 - Proceedings
EditorsJoão Pedro Mendonça, Ricardo Jardim-Gonçalves, João Martins, Alain Zarli, Maria Marques, Marc Pallot
PublisherInstitute of Electrical and Electronics Engineers (IEEE)
Pages1113-1122
Number of pages10
Volume2018-January
ISBN (Electronic)9781538607749
DOIs
Publication statusPublished - 2 Feb 2018
Event23rd International Conference on Engineering, Technology and Innovation, ICE/ITMC 2017 - Madeira Island, Portugal
Duration: 27 Jun 201729 Jun 2017

Conference

Conference23rd International Conference on Engineering, Technology and Innovation, ICE/ITMC 2017
Country/TerritoryPortugal
CityMadeira Island
Period27/06/1729/06/17

Keywords

  • Big Data
  • IoT
  • Maritime Data

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