TrustwOrthy model-awaRE Analytics Data platfORm

Informazioni relative al progetto

TOREADOR

ID dell’accordo di sovvenzione: 688797

DOI

10.3030/688797

Progetto chiuso

Data della firma CE 10 Novembre 2015

Data di avvio 1 Gennaio 2016

Data di completamento 31 Dicembre 2018

Finanziato da

• INDUSTRIAL LEADERSHIP - Leadership in enabling and industrial technologies - Information and Communication Technologies (ICT)

Costo totale

€ 6 311 218,75

Contributo UE

€ 6 311 218,75

Coordinato da

CONSORZIO INTERUNIVERSITARIO NAZIONALE PER L'INFORMATICA
Italy

CORDIS fornisce collegamenti ai risultati finali pubblici e alle pubblicazioni dei progetti ORIZZONTE.

I link ai risultati e alle pubblicazioni dei progetti del 7° PQ, così come i link ad alcuni tipi di risultati specifici come dataset e software, sono recuperati dinamicamente da .OpenAIRE .

Risultati finali

Documents, reports (39)

TOREADOR platform validation for the Application Log Analysis pilot
TOREADOR Platform requirements and specification
Final Big-Data-Analytics-as-a-Service and deployment models Specification
Ownership and intellectual property aspects of data management in a big data context
Models for Big Data representation, preparation, processing and analytics V2
TOREADOR platform implementation for the manufacturing pilot
Requirements and gap analysis report
Big-Data-Analytics-as-a-Service Requirements
TOREADOR platform implementation for the Application Log Analysis pilot
Requirement specifications for big data analytics related to manufacturing processes
TOREADOR Platform architecture v2
BDA procedural models v1
Deployment scenarios from pilots
Models for Big Data display and reporting V2
General legal framework (background document)
TOREADOR platform implementation for the Energy Production Data Analysis pilot
Models for Big Data

Models for Big Data representation, preparation, processing and analytics

Legal Aspects specification for the Application Log Analysis Pilot
TOREADOR platform implementation for the Clickstream Analysis pilot
TOREADOR Platform architecture v1
Requirement specifications for big data analytics related to Application Log Analysis processes

Requirement specifications for big data analytics related to Application Log Analysis processes

Requirement specification for big data analytics related to Clickstream Analysis processes
SLA and Assurance for Big-Data-Analytics-as-a-Service v2

SLA and Assurance for for Big-Data-Analytics-as-a-Service v2

Privacy and security aspects of data management in a big data context
TOREADOR platform validation for the Application Energy Production Data Analysis pilot
Legal aspects specification for the Clickstream Analysis pilot
Requirement specifications for big data analytics related to Energy Production Data analysis processes
Models’ Requirement Elicitation from Pilots
Final SLA and Assurance for Big-Data-Analytics-as-a-Service

Final SLA and Assurance for for Big-Data-Analytics-as-a-Service

BDA procedural models v2
Big-Data-Analytics-as-a-Service Goal-to-Procedural Model Transformations
SLA and Assurance for Big-Data-Analytics-as-a-Service v1

SLA and Assurance for for Big-Data-Analytics-as-a-Service v1

TOREADOR platform validation for the Clickstream Analysis pilot
Final BDA procedural models
Models for Big Data display and reporting
Legal Aspects specification for the Energy Production Data Analysis Pilot
Legal Aspects specification for the Manufacturing Pilot
Big-Data-Analytics-as-a-Service and deployment models Specification v1
TOREADOR platform validation for the manufacturing pilot

Demonstrators, pilots, prototypes (17)

Release Version of Batch Data Analytics Framework
Early Version of Data Analytics Framework
Big data as a service deployments models and patterns v1
Service Toolkit for Big Data Preparation, Anonymization, and security v1
Conceptual Architecture and first version of toolkits for Big Data Preparation, Anonymization, and security services

Conceptual Architecture and first version of toolkits for Big Data Preparation, Anonymization, and security services

TOREADOR Platform v2
Service Toolkit for Big Data Preparation, Anonymization, and security v2
Final toolkit implementation
Big data as a service deployments models and patterns v2
Big Data Management Requirements and Conceptual Architecture (Update)

Big Data Management Requirements and Conceptual Architecture

TOREADOR Platform v1
Big Data Management Requirements and Conceptual Architecture
Service Toolkit for Big Data Management
Early Version of Real Time Analytics Framework
Release version of Big Data Analytics Visualization and Interactive Service Stack
Early version of Big Data Analytics Visualization and Interactive Service Stack
Release Version of Stream Data Analytics Framework

Open Research Data Pilot (1)

Data Management Plan

Pubblicazioni

Book chapters (5)

Starry Vault: Automating Multidimensional Modeling from Data Vaults

Autori: Matteo Golfarelli, Simone Graziani, Stefano Rizzi
Pubblicato in: Advances in Databases and Information Systems, 2016, Pagina/e 137-151, ISBN 978-3-319-44039-2
Editore: Springer International Publishing
DOI: 10.1007/978-3-319-44039-2_10

Social Business Intelligence in Action

Autori: Matteo Francia, Enrico Gallinucci, Matteo Golfarelli, Stefano Rizzi
Pubblicato in: Advanced Information Systems Engineering, 2016, Pagina/e 33-48, ISBN 978-3-319-39696-5
Editore: Springer International Publishing
DOI: 10.1007/978-3-319-39696-5_3

A Novel WebGIS-Based Situational Awareness Platform for Trustworthy Big Data Integration and Analytics in Mobility Context

Autori: Susanna Bonura, Giuseppe Cammarata, Rosolino Finazzo, Giuseppe Francaviglia, Vito Morreale
Pubblicato in: On the Move to Meaningful Internet Systems. OTM 2017 Conferences, Numero 10574, 2017, Pagina/e 86-98, ISBN 978-3-319-69458-0
Editore: Springer International Publishing
DOI: 10.1007/978-3-319-69459-7_6

PiCo: A Novel Approach to Stream Data Analytics

Autori: Claudia Misale, Maurizio Drocco, Guy Tremblay, Marco Aldinucci
Pubblicato in: Euro-Par 2017: Parallel Processing Workshops, Numero 10659, 2018, Pagina/e 118-128, ISBN 978-3-319-75177-1
Editore: Springer International Publishing
DOI: 10.1007/978-3-319-75178-8_10

Les obligations de “compliance” des entreprises

Autori: Benoit Van Asbroeck, Julien Debussche
Pubblicato in: Vers un droit européen de la protection des données ?, 2017, ISBN 9782-804497538
Editore: Editions Larcier

Thesis and dissertations (3)

Parallel Programming with Global Asynchronous Memory: Models, C++ APIs and Implementations

Autori: Maurizio, Drocco
Pubblicato in: Numero 8, 2017
Editore: University of Turin
DOI: 10.5281/zenodo.1037585

Intelligent system for auto-tuning of big data analytics deployment properties

Autori: Profeta Davide
Pubblicato in: 2018
Editore: Università degli Studi di Palermo
DOI: 10.5281/zenodo.2019443

PiCo: A Domain-Specific Language for Data Analytics Pipelines

Autori: Misale, Claudia
Pubblicato in: Numero 1, 2017
Editore: University of Turin
DOI: 10.5281/zenodo.579753

Peer reviewed articles (8)

Controllability of social networks and the strategic use of random information

Autori: Marco Cremonini, Francesca Casamassima
Pubblicato in: Computational Social Networks, Numero 4/1, 2017, ISSN 2197-4314
Editore: SpringerOpen
DOI: 10.1186/s40649-017-0046-2

Model-based Big Data Analytics-as-a-Service: Take Big Data to the Next Level

Autori: Claudio Agostino Ardagna, Valerio Bellandi, Michele Bezzi, Paolo Ceravolo, Ernesto Damiani, Cedric Hebert
Pubblicato in: IEEE Transactions on Services Computing, 2018, Pagina/e 1-1, ISSN 1939-1374
Editore: Institute of Electrical and Electronics Engineers
DOI: 10.1109/TSC.2018.2816941

Interactive multidimensional modeling of linked data for exploratory OLAP

Autori: Enrico Gallinucci, Matteo Golfarelli, Stefano Rizzi, Alberto Abelló, Oscar Romero
Pubblicato in: Information Systems, Numero 77, 2018, Pagina/e 86-104, ISSN 0306-4379
Editore: Elsevier Science & Technology
DOI: 10.1016/j.is.2018.06.004

Schema profiling of document-oriented databases

Autori: Enrico Gallinucci, Matteo Golfarelli, Stefano Rizzi
Pubblicato in: Information Systems, Numero 75, 2018, Pagina/e 13-25, ISSN 0306-4379
Editore: Elsevier Science & Technology
DOI: 10.1016/j.is.2018.02.007

Semantic Techniques for Multi-cloud Applications Portability and Interoperability

Autori: Beniamino Di Martino, Antonio Esposito
Pubblicato in: Procedia Computer Science, Numero 97, 2016, Pagina/e 104-113, ISSN 1877-0509
Editore: Elsevier
DOI: 10.1016/j.procs.2016.08.285

A Comparison of Big Data Frameworks on a Layered Dataflow Model

Autori: Claudia Misale, Maurizio Drocco, Marco Aldinucci, Guy Tremblay
Pubblicato in: Parallel Processing Letters, Numero 27/01, 2017, Pagina/e 1740003, ISSN 0129-6264
Editore: World Scientific Publishing Co
DOI: 10.1142/S0129626417400035

Spamdoop: A privacy-preserving Big Data platform for collaborative spam detection

Autori: Abdelrahman AlMahmoud, Ernesto Damiani, Hadi Otrok, Yousof Al-Hammadi
Pubblicato in: IEEE Transactions on Big Data, 2017, Pagina/e 1-1, ISSN 2332-7790
Editore: IEEE
DOI: 10.1109/TBDATA.2017.2716409

Novel EU Legal Requirements in Big Data Security; Big Data - Big Security Headaches?

Autori: Jasmien César, Julien Debussche
Pubblicato in: JIPITEC, the online “Journal of Intellectual Property, Information Technology and Electronic Commerce Law”, Numero Volume 8(2017), 2017, ISSN 2190-3387
Editore: JIPITEC

Conference proceedings (17)

Personalized Web Search via Query Expansion based on User’s Local Hierarchically-Organized Files

Autori: Gianluca Moro, Roberto Pasolini, Claudio Sartori
Pubblicato in: Proceedings of the 9th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management, 2017, Pagina/e 157-164, ISBN 978-989-758-271-4
Editore: SCITEPRESS - Science and Technology Publications
DOI: 10.5220/0006486401570164

Learning to Predict the Stock Market Dow Jones Index Detecting and Mining Relevant Tweets

Autori: Giacomo Domeniconi, Gianluca Moro, Andrea Pagliarani, Roberto Pasolini
Pubblicato in: Proceedings of the 9th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management, 2017, Pagina/e 165-172, ISBN 978-989-758-271-4
Editore: SCITEPRESS - Science and Technology Publications
DOI: 10.5220/0006488201650172

On Deep Learning in Cross-Domain Sentiment Classification

Autori: Giacomo Domeniconi, Gianluca Moro, Andrea Pagliarani, Roberto Pasolini
Pubblicato in: Proceedings of the 9th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management, 2017, Pagina/e 50-60, ISBN 978-989-758-271-4
Editore: SCITEPRESS - Science and Technology Publications
DOI: 10.5220/0006488100500060

Goal-Based Selection of Visual Representations for Big Data Analytics

Autori: Matteo Golfarelli, Tommaso Pirini, Stefano Rizzi
Pubblicato in: 2017, Pagina/e 47-57
Editore: Springer International Publishing
DOI: 10.1007/978-3-319-70625-2_5

Wind Speed Forecasting via Structured Output Learning

Autori: Appice Annalisa, Lanza Antonietta, Malerba Donato
Pubblicato in: 2018
Editore: CEUR-WS.org
DOI: 10.5281/zenodo.1438121

An OWL Ontology for Supporting Semantic Services in Big Data Platforms

Autori: Domenico Redavid, Roberto Corizzo, Donato Malerba
Pubblicato in: 2018 IEEE International Congress on Big Data (BigData Congress), 2018, Pagina/e 228-231, ISBN 978-1-5386-7232-7
Editore: IEEE
DOI: 10.1109/BigDataCongress.2018.00039

Distributed Learning of Process Models for Next Activity Prediction

Autori: Michelangelo Ceci, Michele Spagnoletta, Pasqua Fabiana Lanotte, Donato Malerba
Pubblicato in: Proceedings of the 22nd International Database Engineering & Applications Symposium on - IDEAS 2018, 2018, Pagina/e 278-282, ISBN 9781-450365277
Editore: ACM Press
DOI: 10.1145/3216122.3216125

Schema Profiling of Document Stores

Autori: Gal; Go; Ri
Pubblicato in: Proceedings of the 25th Italian Symposium on Advanced Database Systems, Numero 17, 2017
Editore: CEUR workshop proceeings
DOI: 10.5281/zenodo.1489577

A Fast and Incremental Development Life Cycle for Data Analytics as a Service

Autori: Claudio A. Ardagna, Valerio Bellandi, Paolo Ceravolo, Ernesto Damiani, Beniamino Di Martino, Salvatore D'Angelo, Antonio Esposito
Pubblicato in: 2018 IEEE International Congress on Big Data (BigData Congress), 2018, Pagina/e 174-181, ISBN 978-1-5386-7232-7
Editore: IEEE
DOI: 10.1109/BigDataCongress.2018.00030

Big Data Assurance Evaluation: An SLA-Based Approach

Autori: Claudio Agostino Ardagna, Ernesto Damiani, Maria Krotsiani, Christos Kloukinas, George Spanoudakis
Pubblicato in: 2018 IEEE International Conference on Services Computing (SCC), 2018, Pagina/e 299-303, ISBN 978-1-5386-7250-1
Editore: IEEE
DOI: 10.1109/scc.2018.00053

What are my Users Looking for when preparing a Big Data Campaign

Autori: Claudio Ardagna, Paolo Ceravolo, Guido Lena Cota, Muhammad Muneeb Kiani, Ernesto Damiani
Pubblicato in: IEEE Big Data Congress 2017, 2017
Editore: IEEE

A Model-Driven Methodology for Big Data Analytics-as-a-Service

Autori: Claudio Ardagna, Paolo Ceravolo, Ernesto Damiani, Valerio Bellandi, Michele Bezzi, Cedric Hebert
Pubblicato in: IEEE Big Data Congress 2017, 2017
Editore: IEEE

Scouting Big Data Campaigns using TOREADOR Labs

Autori: C.A. Ardagna, P. Ceravolo, E. Damiani, M. Leida
Pubblicato in: EDBT/ICDT 2017 : Workshops, 2017
Editore: CEUR-WS

Facing big data variety in a model driven approach

Autori: Marcello Leida, Carlos Ruiz, Paolo Ceravolo
Pubblicato in: 2016 IEEE 2nd International Forum on Research and Technologies for Society and Industry Leveraging a better tomorrow (RTSI), 2016, Pagina/e 1-6, ISBN 978-1-5090-1131-5
Editore: IEEE
DOI: 10.1109/RTSI.2016.7740641

A Formal Semantics for Data Analytics Pipelines

Autori: Drocco, Maurizio; Misale, Claudia; Tremblay, Guy; Aldinucci, Marco;
Pubblicato in: 2017
Editore: Cornell university library
DOI: 10.5281/zenodo.571802

Validation of Service Level Agreements using Probabilistic Model Checking

Autori: Maria Krotsiani, Christos Kloukinas, George Spanoudakis
Pubblicato in: 2017
Editore: IEEE

Big data analytics as-a-service: Issues and challenges

Autori: Claudio A. Ardagna, Paolo Ceravolo, Ernesto Damiani
Pubblicato in: 2016 IEEE International Conference on Big Data (Big Data), 2016, Pagina/e 3638-3644, ISBN 978-1-4673-9005-7
Editore: IEEE
DOI: 10.1109/BigData.2016.7841029

Diritti di proprietà intellettuale

Patent (1)

A privacy-aware approach to threat detection

Numero candidatura/pubblicazione: US 83412764
Data: 2017-06-27
Candidato/i: SAP SE