BigDataOcean SIGNED
BigDataOcean - Exploiting Ocean's of Data for Maritime Applications
Total Cost €
0EC-Contrib. €
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0BigDataOcean project word cloud
Explore the words cloud of the BigDataOcean project. It provides you a very rough idea of what is the project "BigDataOcean" about.
Project "BigDataOcean" data sheet
The following table provides information about the project.
| Coordinator |
NATIONAL TECHNICAL UNIVERSITY OF ATHENS - NTUA
Organization address contact info |
| Coordinator Country | Greece [EL] |
| Project website | http://www.bigdataocean.eu/ |
| Total cost | 3˙566˙172 € |
| EC max contribution | 2˙998˙569 € (84%) |
| Programme |
1. H2020-EU.2.1.1. (INDUSTRIAL LEADERSHIP - Leadership in enabling and industrial technologies - Information and Communication Technologies (ICT)) |
| Code Call | H2020-ICT-2016-1 |
| Funding Scheme | IA |
| Starting year | 2017 |
| Duration (year-month-day) | from 2017-01-01 to 2019-06-30 |
Partnership
Take a look of project's partnership.
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Project objective
The main objective of BigDataOcean is to enable maritime big data scenarios for EU-based companies, organisations and scientists, through a multi-segment platform that will combine data of different velocity, variety and volume under an inter-linked, trusted, multilingual engine to produce a big-data repository of value and veracity back to the participants and local communities. BigDataOcean aims to capitalise on existing modern technological breakthroughs in the areas of the big data driven economy, and roll out a completely new value chain of interrelated data streams coming from diverse sectors and languages and residing on cross technology innovations being delivered in different formats (as well in different states, e.g. structured/unstructured, real-time/batches) in order to revolutionise the way maritime-related industries work, showcasing a huge and realistic economic, societal and environmental impact that is being achieved by introducing an economy of knowledge into a traditional sector which does not operate in an orchestrated manner and is rather fragmented. This infrastructure will be combined with four strong pilots that will bring into BigDataOcean a huge amount of data (in TBs) in order to develop the largest maritime database as a resource of collaborative, data-driven intelligence. BigDataOcean will give participants the capability to upload both private and public resources of data, and interrelate them over public and private queries and diagrams. The BigDataOcean system backbone will be domain-agnostic and interoperable with the most popular and established data processing technologies and sensor types, and will be capable of conforming to various different operation systems that one can nowadays meet. Based on the consortium’s early market analysis, the project will break even and will be viable from its start (2020) and will return the initial investment of EU-commission by 2025 (ROI).
Deliverables
| BigDataOcean Pilots Documentation, Evaluation and Impact Assessment – v2.00 | Documents, reports | 2020-04-08 10:34:49 |
| BigDataOcean Cross-Sector Semantics, Analytics and Business Intelligence Algorithms | Other | 2020-04-08 10:34:49 |
| Final Dissemination, Communication, Stakeholder Engagement Report | Documents, reports | 2020-04-08 10:34:49 |
| BigDataOcean Platform Release 3.00 | Other | 2020-04-08 10:34:49 |
| BigDataOcean Pilots Documentation, Evaluation and Impact Assessment – v1.00 | Documents, reports | 2020-04-08 10:34:49 |
| BigDataOcean Final Platform Architecture, Components Design and APIs | Other | 2020-04-08 10:34:49 |
| BigDataOcean Business Cases | Documents, reports | 2020-04-08 10:34:49 |
| BigDataOcean Platform Architecture, Components Design and APIs – v3.00 | Other | 2020-04-08 10:34:49 |
| BigDataOcean Platform Final Release | Other | 2020-04-08 10:34:49 |
| BigDataOcean Final Evaluation, Methodology and Adoption Guidelines | Documents, reports | 2020-04-08 10:34:49 |
| BigDataOcean Validation Framework | Documents, reports | 2020-04-08 10:34:48 |
| Project Management Handbook | Documents, reports | 2020-04-08 10:34:48 |
| Analysis Report on Big Data Components, Tools and Methodologies | Documents, reports | 2020-04-08 10:34:48 |
| BigDataOcean Technology Requirements and User Stories | Documents, reports | 2020-04-08 10:34:48 |
| BigDataOcean Platform Release 2.00 | Other | 2020-04-08 10:34:47 |
| BigDataOcean Linked Data Vocabularies and Metadata Repository Architecture | Other | 2020-04-08 10:34:48 |
| BigDataOcean Platform Architecture, Components Design and APIs - v2.00 | Other | 2020-04-08 10:34:47 |
| BigDataOcean Methodology and MVP | Documents, reports | 2020-04-08 10:34:48 |
| Project Website and Web 2.0 Channels | Websites, patent fillings, videos etc. | 2020-04-08 10:34:47 |
| BigDataOcean Platform Architecture, Components Design and APIs - v1.00 | Other | 2020-04-08 10:34:47 |
| Final BigDataOcean Methodology | Documents, reports | 2020-04-08 10:34:48 |
| Dissemination, Communication and Stakeholder Engagement Report and Plan for Second Reporting Period | Documents, reports | 2020-04-08 10:34:48 |
| Dissemination, Communication and Stakeholder Engagement Plan, Initial Release | Documents, reports | 2020-04-08 10:34:47 |
| BigDataOcean Harmonisation, Knowledge Extraction, Business Intelligence and Usage Analytics Services | Other | 2020-04-08 10:34:48 |
Take a look to the deliverables list in detail: detailed list of BigDataOcean deliverables.
Publications
| year | authors and title | journal | last update |
|---|---|---|---|
| 2017 |
Project consortium members D4.1 BigDataOcean Technology Requirements and User Stories published pages: , ISSN: , DOI: 10.5281/zenodo.1249384 |
2020-04-08 | |
| 2017 |
Project consortium members D2.2 – BigDataOcean Methodology and MVP published pages: , ISSN: , DOI: 10.5281/zenodo.1249355 |
1 | 2020-04-08 |
| 2019 |
Gianandrea Mannarini, Lorenzo Carelli, Dimitrios Zissis, Giannis Spiliopoulos, Konstantinos Chatzikokolakis Preliminary Inter-comparison of AIS Data and Optimal Ship Tracks published pages: 53-61, ISSN: 2083-6473, DOI: 10.12716/1001.13.01.04 |
TransNav, the International Journal on Marine Navigation and Safety of Sea Transportation 13/1 | 2020-04-08 |
| 2017 |
Project consortium members D3.2 BigDataOcean Harmonisation, Knowledge Extraction, Business Intelligence and Usage Analytics Services published pages: , ISSN: , DOI: 10.5281/zenodo.1249382 |
2020-04-08 | |
| 2017 |
Project consortium members D6.1 BigDataOcean Validation Framework published pages: , ISSN: , DOI: 10.5281/zenodo.1249391 |
2020-04-08 | |
| 2017 |
Project consortium members D3.1 BigDataOcean Linked Data Vocabularies and Metadata Repository Architecture published pages: , ISSN: , DOI: 10.5281/zenodo.1249380 |
2020-04-08 | |
| 2018 |
Project consortium members D4.3 BigDataOcean Platform Architecture, Components Design and APIs – v2.00 published pages: , ISSN: , DOI: 10.5281/zenodo.1249388 |
2020-04-08 | |
| 2018 |
Chatzikokolakis, Konstantinos; Zissis, Dimitrios; Spiliopoulos, Giannis Vessel Profile Indicators using Fuzzy Logic Reasoning and AIS published pages: , ISSN: , DOI: 10.5281/zenodo.3269692 |
2020-04-08 | |
| 2017 |
Project consortium members D4.2 BigDataOcean Platform Architecture, Components Design and APIs - v1.00 published pages: , ISSN: , DOI: 10.5281/zenodo.1249386 |
2020-04-08 | |
| 2017 |
Project consortium members D8.1 - Dissemination, Communication and Stakeholder Engagement Plan, Initial Release published pages: , ISSN: , DOI: 10.5281/zenodo.1249397 |
2020-04-08 | |
| 2018 |
Chatzikokolakis, Konstantinos; Zissis, Dimitrios; Spiliopoulos, Giannis; Tserpes, Konstantinos Mining Vessel Trajectory Data for Patterns of Search and Rescue published pages: , ISSN: , DOI: 10.5281/zenodo.1203886 |
EDBT/ICDT 2018 Joint Conference | 2020-04-08 |
| 2017 |
Project consortium members D8.2 – Project Website and Web2.0 Channels published pages: , ISSN: , DOI: 10.5281/zenodo.1249399 |
2020-04-08 | |
| 2017 |
Amaro, Nuno; Murta Pina, João Big Data in Power Systems: Leveraging grid optimization and wave energy integration published pages: , ISSN: , DOI: 10.5281/zenodo.815511 |
2020-04-08 | |
| 2017 |
Ferreira, Jose; Lopes, Rui; Chatzikokolakis, Konstantinos; Zissis, Dimitris; Vidal, Maria-Esther; Mouzakitis, Spyros; Agostinho, Carlos Maritime Data Technology Landscape and Value Chain: Exploiting Oceans of Data for Maritime Applications published pages: , ISSN: , DOI: 10.5281/zenodo.815404 |
2 | 2020-04-08 |
| 2019 |
Konstantinos Chatzikokolakis, Dimitrios Zissis, Giannis Spiliopoulos, Konstantinos Tserpes A comparison of supervised learning schemes for the detection of search and rescue (SAR) vessel patterns published pages: , ISSN: 1384-6175, DOI: 10.1007/s10707-019-00365-y |
GeoInformatica | 2020-04-08 |
| 2019 |
Chatzikokolakis, Konstantinos; Zissis, Dimitris; Vodas, Marios; Tsapelas, Giannis; Mouzakitis, Spiros; Kokkinakos, Panagiotis; Askounis, Dimitris BigDataOcean Project: Early anomaly detection from big maritime vessel traffic data published pages: , ISSN: , DOI: 10.5281/zenodo.3269718 |
2020-04-08 | |
| 2018 |
Project consortium members D8.4 – Communication and Stakeholder Engagement Report and Plan for Second Reporting Period published pages: , ISSN: , DOI: 10.5281/zenodo.1249407 |
2020-04-08 |
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