TrustwOrthy model-awaRE Analytics Data platfORm

Informacje na temat projektu

TOREADOR

Identyfikator umowy o grant: 688797

DOI 10.3030/688797

Projekt został zamknięty

Data podpisania przez KE 10 Listopada 2015

Data rozpoczęcia 1 Stycznia 2016

Data zakończenia 31 Grudnia 2018

Finansowanie w ramach

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

Koszt całkowity € 6 311 218,75

Wkład UE € 6 311 218,75

Koordynowany przez

CONSORZIO INTERUNIVERSITARIO NAZIONALE PER L'INFORMATICA
Italy

Rezultaty

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

Publikacje

Book chapters (5)

Starry Vault: Automating Multidimensional Modeling from Data Vaults

Autorzy: Matteo Golfarelli, Simone Graziani, Stefano Rizzi
Opublikowane w: Advances in Databases and Information Systems, 2016, Strona(/y) 137-151, ISBN 978-3-319-44039-2
Wydawca: Springer International Publishing
DOI: 10.1007/978-3-319-44039-2_10

Social Business Intelligence in Action

Autorzy: Matteo Francia, Enrico Gallinucci, Matteo Golfarelli, Stefano Rizzi
Opublikowane w: Advanced Information Systems Engineering, 2016, Strona(/y) 33-48, ISBN 978-3-319-39696-5
Wydawca: 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

Autorzy: Susanna Bonura, Giuseppe Cammarata, Rosolino Finazzo, Giuseppe Francaviglia, Vito Morreale
Opublikowane w: On the Move to Meaningful Internet Systems. OTM 2017 Conferences, Numer 10574, 2017, Strona(/y) 86-98, ISBN 978-3-319-69458-0
Wydawca: Springer International Publishing
DOI: 10.1007/978-3-319-69459-7_6

PiCo: A Novel Approach to Stream Data Analytics

Autorzy: Claudia Misale, Maurizio Drocco, Guy Tremblay, Marco Aldinucci
Opublikowane w: Euro-Par 2017: Parallel Processing Workshops, Numer 10659, 2018, Strona(/y) 118-128, ISBN 978-3-319-75177-1
Wydawca: Springer International Publishing
DOI: 10.1007/978-3-319-75178-8_10

Les obligations de “compliance” des entreprises

Autorzy: Benoit Van Asbroeck, Julien Debussche
Opublikowane w: Vers un droit européen de la protection des données ?, 2017, ISBN 9782-804497538
Wydawca: Editions Larcier

Thesis and dissertations (3)

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

Autorzy: Maurizio, Drocco
Opublikowane w: Numer 8, 2017
Wydawca: University of Turin
DOI: 10.5281/zenodo.1037585

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

Autorzy: Profeta Davide
Opublikowane w: 2018
Wydawca: Università degli Studi di Palermo
DOI: 10.5281/zenodo.2019443

PiCo: A Domain-Specific Language for Data Analytics Pipelines

Autorzy: Misale, Claudia
Opublikowane w: Numer 1, 2017
Wydawca: University of Turin
DOI: 10.5281/zenodo.579753

Peer reviewed articles (8)

Controllability of social networks and the strategic use of random information

Autorzy: Marco Cremonini, Francesca Casamassima
Opublikowane w: Computational Social Networks, Numer 4/1, 2017, ISSN 2197-4314
Wydawca: SpringerOpen
DOI: 10.1186/s40649-017-0046-2

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

Autorzy: Claudio Agostino Ardagna, Valerio Bellandi, Michele Bezzi, Paolo Ceravolo, Ernesto Damiani, Cedric Hebert
Opublikowane w: IEEE Transactions on Services Computing, 2018, Strona(/y) 1-1, ISSN 1939-1374
Wydawca: Institute of Electrical and Electronics Engineers
DOI: 10.1109/TSC.2018.2816941

Interactive multidimensional modeling of linked data for exploratory OLAP

Autorzy: Enrico Gallinucci, Matteo Golfarelli, Stefano Rizzi, Alberto Abelló, Oscar Romero
Opublikowane w: Information Systems, Numer 77, 2018, Strona(/y) 86-104, ISSN 0306-4379
Wydawca: Elsevier Science & Technology
DOI: 10.1016/j.is.2018.06.004

Schema profiling of document-oriented databases

Autorzy: Enrico Gallinucci, Matteo Golfarelli, Stefano Rizzi
Opublikowane w: Information Systems, Numer 75, 2018, Strona(/y) 13-25, ISSN 0306-4379
Wydawca: Elsevier Science & Technology
DOI: 10.1016/j.is.2018.02.007

Semantic Techniques for Multi-cloud Applications Portability and Interoperability

Autorzy: Beniamino Di Martino, Antonio Esposito
Opublikowane w: Procedia Computer Science, Numer 97, 2016, Strona(/y) 104-113, ISSN 1877-0509
Wydawca: Elsevier
DOI: 10.1016/j.procs.2016.08.285

A Comparison of Big Data Frameworks on a Layered Dataflow Model

Autorzy: Claudia Misale, Maurizio Drocco, Marco Aldinucci, Guy Tremblay
Opublikowane w: Parallel Processing Letters, Numer 27/01, 2017, Strona(/y) 1740003, ISSN 0129-6264
Wydawca: World Scientific Publishing Co
DOI: 10.1142/S0129626417400035

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

Autorzy: Abdelrahman AlMahmoud, Ernesto Damiani, Hadi Otrok, Yousof Al-Hammadi
Opublikowane w: IEEE Transactions on Big Data, 2017, Strona(/y) 1-1, ISSN 2332-7790
Wydawca: IEEE
DOI: 10.1109/TBDATA.2017.2716409

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

Autorzy: Jasmien César, Julien Debussche
Opublikowane w: JIPITEC, the online “Journal of Intellectual Property, Information Technology and Electronic Commerce Law”, Numer Volume 8(2017), 2017, ISSN 2190-3387
Wydawca: JIPITEC

Conference proceedings (17)

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

Autorzy: Gianluca Moro, Roberto Pasolini, Claudio Sartori
Opublikowane w: Proceedings of the 9th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management, 2017, Strona(/y) 157-164, ISBN 978-989-758-271-4
Wydawca: SCITEPRESS - Science and Technology Publications
DOI: 10.5220/0006486401570164

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

Autorzy: Giacomo Domeniconi, Gianluca Moro, Andrea Pagliarani, Roberto Pasolini
Opublikowane w: Proceedings of the 9th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management, 2017, Strona(/y) 165-172, ISBN 978-989-758-271-4
Wydawca: SCITEPRESS - Science and Technology Publications
DOI: 10.5220/0006488201650172

On Deep Learning in Cross-Domain Sentiment Classification

Autorzy: Giacomo Domeniconi, Gianluca Moro, Andrea Pagliarani, Roberto Pasolini
Opublikowane w: Proceedings of the 9th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management, 2017, Strona(/y) 50-60, ISBN 978-989-758-271-4
Wydawca: SCITEPRESS - Science and Technology Publications
DOI: 10.5220/0006488100500060

Goal-Based Selection of Visual Representations for Big Data Analytics

Autorzy: Matteo Golfarelli, Tommaso Pirini, Stefano Rizzi
Opublikowane w: 2017, Strona(/y) 47-57
Wydawca: Springer International Publishing
DOI: 10.1007/978-3-319-70625-2_5

Wind Speed Forecasting via Structured Output Learning

Autorzy: Appice Annalisa, Lanza Antonietta, Malerba Donato
Opublikowane w: 2018
Wydawca: CEUR-WS.org
DOI: 10.5281/zenodo.1438121

An OWL Ontology for Supporting Semantic Services in Big Data Platforms

Autorzy: Domenico Redavid, Roberto Corizzo, Donato Malerba
Opublikowane w: 2018 IEEE International Congress on Big Data (BigData Congress), 2018, Strona(/y) 228-231, ISBN 978-1-5386-7232-7
Wydawca: IEEE
DOI: 10.1109/BigDataCongress.2018.00039

Distributed Learning of Process Models for Next Activity Prediction

Autorzy: Michelangelo Ceci, Michele Spagnoletta, Pasqua Fabiana Lanotte, Donato Malerba
Opublikowane w: Proceedings of the 22nd International Database Engineering & Applications Symposium on - IDEAS 2018, 2018, Strona(/y) 278-282, ISBN 9781-450365277
Wydawca: ACM Press
DOI: 10.1145/3216122.3216125

Schema Profiling of Document Stores

Autorzy: Gal; Go; Ri
Opublikowane w: Proceedings of the 25th Italian Symposium on Advanced Database Systems, Numer 17, 2017
Wydawca: CEUR workshop proceeings
DOI: 10.5281/zenodo.1489577

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

Autorzy: Claudio A. Ardagna, Valerio Bellandi, Paolo Ceravolo, Ernesto Damiani, Beniamino Di Martino, Salvatore D'Angelo, Antonio Esposito
Opublikowane w: 2018 IEEE International Congress on Big Data (BigData Congress), 2018, Strona(/y) 174-181, ISBN 978-1-5386-7232-7
Wydawca: IEEE
DOI: 10.1109/BigDataCongress.2018.00030

Big Data Assurance Evaluation: An SLA-Based Approach

Autorzy: Claudio Agostino Ardagna, Ernesto Damiani, Maria Krotsiani, Christos Kloukinas, George Spanoudakis
Opublikowane w: 2018 IEEE International Conference on Services Computing (SCC), 2018, Strona(/y) 299-303, ISBN 978-1-5386-7250-1
Wydawca: IEEE
DOI: 10.1109/scc.2018.00053

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

Autorzy: Claudio Ardagna, Paolo Ceravolo, Guido Lena Cota, Muhammad Muneeb Kiani, Ernesto Damiani
Opublikowane w: IEEE Big Data Congress 2017, 2017
Wydawca: IEEE

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

Autorzy: Claudio Ardagna, Paolo Ceravolo, Ernesto Damiani, Valerio Bellandi, Michele Bezzi, Cedric Hebert
Opublikowane w: IEEE Big Data Congress 2017, 2017
Wydawca: IEEE

Scouting Big Data Campaigns using TOREADOR Labs

Autorzy: C.A. Ardagna, P. Ceravolo, E. Damiani, M. Leida
Opublikowane w: EDBT/ICDT 2017 : Workshops, 2017
Wydawca: CEUR-WS

Facing big data variety in a model driven approach

Autorzy: Marcello Leida, Carlos Ruiz, Paolo Ceravolo
Opublikowane w: 2016 IEEE 2nd International Forum on Research and Technologies for Society and Industry Leveraging a better tomorrow (RTSI), 2016, Strona(/y) 1-6, ISBN 978-1-5090-1131-5
Wydawca: IEEE
DOI: 10.1109/RTSI.2016.7740641

A Formal Semantics for Data Analytics Pipelines

Autorzy: Drocco, Maurizio; Misale, Claudia; Tremblay, Guy; Aldinucci, Marco;
Opublikowane w: 2017
Wydawca: Cornell university library
DOI: 10.5281/zenodo.571802

Validation of Service Level Agreements using Probabilistic Model Checking

Autorzy: Maria Krotsiani, Christos Kloukinas, George Spanoudakis
Opublikowane w: 2017
Wydawca: IEEE

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

Autorzy: Claudio A. Ardagna, Paolo Ceravolo, Ernesto Damiani
Opublikowane w: 2016 IEEE International Conference on Big Data (Big Data), 2016, Strona(/y) 3638-3644, ISBN 978-1-4673-9005-7
Wydawca: IEEE
DOI: 10.1109/BigData.2016.7841029

Prawa własności intelektualnej

Patent (1)

A privacy-aware approach to threat detection

Numer wniosku/publikacji: US 83412764
Data: 2017-06-27