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BigDataGrapes SIGNED

Big Data to Enable Global Disruption of the Grapevine-powered Industries

Total Cost €

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EC-Contrib. €

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Partnership

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Project "BigDataGrapes" data sheet

The following table provides information about the project.

Coordinator
AGROKNOW IKE 

Organization address
address: PENTELIS 110
city: MAROUSI
postcode: 15126
website: n.a.

contact info
title: n.a.
name: n.a.
surname: n.a.
function: n.a.
email: n.a.
telephone: n.a.
fax: n.a.

 Coordinator Country Greece [EL]
 Project website http://www.bigdatagrapes.eu/
 Total cost 4˙441˙500 €
 EC max contribution 4˙441˙500 € (100%)
 Programme 1. H2020-EU.2.1.1. (INDUSTRIAL LEADERSHIP - Leadership in enabling and industrial technologies - Information and Communication Technologies (ICT))
 Code Call H2020-ICT-2017-1
 Funding Scheme RIA
 Starting year 2018
 Duration (year-month-day) from 2018-01-01   to  2020-12-31

 Partnership

Take a look of project's partnership.

# participants  country  role  EC contrib. [€] 
1    AGROKNOW IKE EL (MAROUSI) coordinator 936˙250.00
2    CONSIGLIO NAZIONALE DELLE RICERCHE IT (ROMA) participant 620˙000.00
3    ONTOTEXT AD BG (SOFIA) participant 545˙625.00
4    INSTITUT NATIONAL DE RECHERCHE POUR L'AGRICULTURE, L'ALIMENTATION ET L'ENVIRONNEMENT FR (PARIS CEDEX 07) participant 540˙250.00
5    GEOPONIKO PANEPISTIMION ATHINON EL (ATHINA) participant 528˙125.00
6    KATHOLIEKE UNIVERSITEIT LEUVEN BE (LEUVEN) participant 443˙125.00
7    ABACO SPA IT (MANTOVA) participant 316˙250.00
8    GEOCLEDIAN GMBH DE (LANDSHUT) participant 315˙000.00
9    SYMBEEOSIS LONG LIVE LIFE SA EL (PAIANIA) participant 196˙875.00

Map

 Project objective

Big data is becoming a hype that is going to completely redefine industries within very traditional sectors like agriculture, food and beauty. The emergence of niche big data companies like Enolytics (“bringing big data insights to the wine industry”) is threatening to disrupt these industries against the interests of the EU. BigDataGrapes wants to build upon the rich historical, cultural and artisan heritage of Europe in order to change this picture. It aims to support all European companies active in two key industries powered by grapevines: the wine industry and the natural cosmetics one. It will help them respond to the significant opportunity that big data is creating in their relevant markets, by pursuing two ambitious goals: a. To develop and demonstrate powerful, rigorously tested, cross-sector data processing technologies that go beyond-the-state-of-the-art towards increasing the efficiency of companies that need to take important business decisions dependent on access to vast and complex amounts of data, and assess them in challenges informed by the grapevine-powered industries. b. To create a large-scale, mulifaceted marketplace for grapevine-related data assets, increasing the competitive advantage of companies that serve with IT solutions these sectors and helping companies and organisations evolve methods, standards and processes to help them achieve free, interoperable and secure flow of their data. BigDataGrapes is targeting technology challenges of the grapevine-powered data economy as its business problems and decisions requires processing, analysis and visualisation of data with rapidly increasing volume, velocity and variety: satellite and weather data, environmental and geological data, phenotypic and genetic plant data, food supply chain data, economic and financial data and more. It therefore makes a perfectly suitable cross-sector and cross-country combination of industries that are of high European significance and value.

 Deliverables

List of deliverables.
Interactive Visualization Components Demonstrators, pilots, prototypes 2020-04-24 05:05:00
Integrated Software Stack and APIs Demonstrators, pilots, prototypes 2020-04-24 05:05:00
Dissemination and Awareness Report Documents, reports 2020-04-24 05:05:00
Website and Social Media Presence Websites, patent fillings, videos etc. 2020-04-24 05:05:00
Data Management Plan & Support Pack Documents, reports 2020-04-24 05:05:00

Take a look to the deliverables list in detail:  detailed list of BigDataGrapes deliverables.

 Publications

year authors and title journal last update
List of publications.
2019 Ermanno Pibiri, Giulio; Venturini, Rossano
Handling Massive N-Gram Datasets Efficiently
published pages: , ISSN: 1046-8188, DOI: 10.5281/zenodo.3257995
ACM Transactions on Information Systems 25 2020-04-24
2019 Gutiérrez, Francisco; Htun, Nyi-Nyi; Schlenz, Florian; Kasimati, Aikaterini; Verbert, Katrien
A Review of Visualisations in Agricultural Decision Support Systems: an HCI Perspective
published pages: , ISSN: 0168-1699, DOI: 10.5281/zenodo.3267196
Computers and Electronics in Agriculture 15 2020-04-24
2018 Gutiérrez, Francisco; Verbert, Katrien; Seipp, Karsten; Ochoa, Xavier
Towards a visual guide for communicating uncertainty in Visual Analytics☆
published pages: , ISSN: 2590-1184, DOI: 10.5281/zenodo.3258001
Journal of Computer Languages 19 2020-04-24
2018 Tonellotto, Nicola; Macdonald, Craig; Ounis, Iadh
Efficient Query Processing for Scalable Web Search
published pages: 319-500, ISSN: 1554-0677, DOI: 10.5281/zenodo.3268359
Foundations and Trends® in Information Retrieval 37 2020-04-24
2018 Lucchese, Claudio; Nardini, Franco Maria; Orlando, Salvatore; Perego, Raffaele; Silvestri, Fabrizio; Trani, Salvatore
X-CLEaVER: Learning Ranking Ensembles by Growing and Pruning Trees
published pages: , ISSN: 2157-6904, DOI: 10.5281/zenodo.2668361
ACM Transactions on Intelligent Systems and Technology (TIST) 8 2020-04-24
2018 Francesco Lettich, Claudio Lucchese, Franco Maria Nardini, Salvatore Orlando, Raffaele Perego, Nicola Tonellotto, Rossano Venturini
Parallel Traversal of Large Ensembles of Decision Trees
published pages: 1-1, ISSN: 1045-9219, DOI: 10.1109/tpds.2018.2860982
IEEE Transactions on Parallel and Distributed Systems 2020-04-24

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The information about "BIGDATAGRAPES" are provided by the European Opendata Portal: CORDIS opendata.

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