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

• Published in: 2017 International Conference on Engineering, Technology and Innovation (ICE/ITMC) pp. 1113 - 1122
• Main Authors: Ferreira, Jose, Agostinho, Carlos, Lopes, Rui, Chatzikokolakis, Konstantinos, Zissis, Dimitris, Vidal, Maria-Esther, Mouzakitis, Spyros
• Format: Conference Proceeding
• Language: English
• Published: IEEE 01.06.2017
• Subjects: Big Data; Economics; Industries; Interoperability; IoT; Maritime Data; Stakeholders
• DOI: 10.1109/ICE.2017.8280006

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.