TrustwOrthy model-awaRE Analytics Data platfORm

Projektinformationen

TOREADOR

ID Finanzhilfevereinbarung: 688797

DOI 10.3030/688797

Projekt abgeschlossen

EK-Unterschriftsdatum 10 November 2015

Startdatum 1 Januar 2016

Enddatum 31 Dezember 2018

Finanziert unter

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

Gesamtkosten € 6 311 218,75

EU-Beitrag € 6 311 218,75

Koordiniert durch

CONSORZIO INTERUNIVERSITARIO NAZIONALE PER L'INFORMATICA
Italy

Leistungen

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

Veröffentlichungen

Book chapters (5)

Starry Vault: Automating Multidimensional Modeling from Data Vaults

Autoren: Matteo Golfarelli, Simone Graziani, Stefano Rizzi
Veröffentlicht in: Advances in Databases and Information Systems, 2016, Seite(n) 137-151, ISBN 978-3-319-44039-2
Herausgeber: Springer International Publishing
DOI: 10.1007/978-3-319-44039-2_10

Social Business Intelligence in Action

Autoren: Matteo Francia, Enrico Gallinucci, Matteo Golfarelli, Stefano Rizzi
Veröffentlicht in: Advanced Information Systems Engineering, 2016, Seite(n) 33-48, ISBN 978-3-319-39696-5
Herausgeber: 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

Autoren: Susanna Bonura, Giuseppe Cammarata, Rosolino Finazzo, Giuseppe Francaviglia, Vito Morreale
Veröffentlicht in: On the Move to Meaningful Internet Systems. OTM 2017 Conferences, Ausgabe 10574, 2017, Seite(n) 86-98, ISBN 978-3-319-69458-0
Herausgeber: Springer International Publishing
DOI: 10.1007/978-3-319-69459-7_6

PiCo: A Novel Approach to Stream Data Analytics

Autoren: Claudia Misale, Maurizio Drocco, Guy Tremblay, Marco Aldinucci
Veröffentlicht in: Euro-Par 2017: Parallel Processing Workshops, Ausgabe 10659, 2018, Seite(n) 118-128, ISBN 978-3-319-75177-1
Herausgeber: Springer International Publishing
DOI: 10.1007/978-3-319-75178-8_10

Les obligations de “compliance” des entreprises

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

Thesis and dissertations (3)

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

Autoren: Maurizio, Drocco
Veröffentlicht in: Ausgabe 8, 2017
Herausgeber: University of Turin
DOI: 10.5281/zenodo.1037585

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

Autoren: Profeta Davide
Veröffentlicht in: 2018
Herausgeber: Università degli Studi di Palermo
DOI: 10.5281/zenodo.2019443

PiCo: A Domain-Specific Language for Data Analytics Pipelines

Autoren: Misale, Claudia
Veröffentlicht in: Ausgabe 1, 2017
Herausgeber: University of Turin
DOI: 10.5281/zenodo.579753

Peer reviewed articles (8)

Controllability of social networks and the strategic use of random information

Autoren: Marco Cremonini, Francesca Casamassima
Veröffentlicht in: Computational Social Networks, Ausgabe 4/1, 2017, ISSN 2197-4314
Herausgeber: SpringerOpen
DOI: 10.1186/s40649-017-0046-2

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

Autoren: Claudio Agostino Ardagna, Valerio Bellandi, Michele Bezzi, Paolo Ceravolo, Ernesto Damiani, Cedric Hebert
Veröffentlicht in: IEEE Transactions on Services Computing, 2018, Seite(n) 1-1, ISSN 1939-1374
Herausgeber: Institute of Electrical and Electronics Engineers
DOI: 10.1109/TSC.2018.2816941

Interactive multidimensional modeling of linked data for exploratory OLAP

Autoren: Enrico Gallinucci, Matteo Golfarelli, Stefano Rizzi, Alberto Abelló, Oscar Romero
Veröffentlicht in: Information Systems, Ausgabe 77, 2018, Seite(n) 86-104, ISSN 0306-4379
Herausgeber: Elsevier Science & Technology
DOI: 10.1016/j.is.2018.06.004

Schema profiling of document-oriented databases

Autoren: Enrico Gallinucci, Matteo Golfarelli, Stefano Rizzi
Veröffentlicht in: Information Systems, Ausgabe 75, 2018, Seite(n) 13-25, ISSN 0306-4379
Herausgeber: Elsevier Science & Technology
DOI: 10.1016/j.is.2018.02.007

Semantic Techniques for Multi-cloud Applications Portability and Interoperability

Autoren: Beniamino Di Martino, Antonio Esposito
Veröffentlicht in: Procedia Computer Science, Ausgabe 97, 2016, Seite(n) 104-113, ISSN 1877-0509
Herausgeber: Elsevier
DOI: 10.1016/j.procs.2016.08.285

A Comparison of Big Data Frameworks on a Layered Dataflow Model

Autoren: Claudia Misale, Maurizio Drocco, Marco Aldinucci, Guy Tremblay
Veröffentlicht in: Parallel Processing Letters, Ausgabe 27/01, 2017, Seite(n) 1740003, ISSN 0129-6264
Herausgeber: World Scientific Publishing Co
DOI: 10.1142/S0129626417400035

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

Autoren: Abdelrahman AlMahmoud, Ernesto Damiani, Hadi Otrok, Yousof Al-Hammadi
Veröffentlicht in: IEEE Transactions on Big Data, 2017, Seite(n) 1-1, ISSN 2332-7790
Herausgeber: IEEE
DOI: 10.1109/TBDATA.2017.2716409

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

Autoren: Jasmien César, Julien Debussche
Veröffentlicht in: JIPITEC, the online “Journal of Intellectual Property, Information Technology and Electronic Commerce Law”, Ausgabe Volume 8(2017), 2017, ISSN 2190-3387
Herausgeber: JIPITEC

Conference proceedings (17)

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

Autoren: Gianluca Moro, Roberto Pasolini, Claudio Sartori
Veröffentlicht in: Proceedings of the 9th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management, 2017, Seite(n) 157-164, ISBN 978-989-758-271-4
Herausgeber: SCITEPRESS - Science and Technology Publications
DOI: 10.5220/0006486401570164

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

Autoren: Giacomo Domeniconi, Gianluca Moro, Andrea Pagliarani, Roberto Pasolini
Veröffentlicht in: Proceedings of the 9th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management, 2017, Seite(n) 165-172, ISBN 978-989-758-271-4
Herausgeber: SCITEPRESS - Science and Technology Publications
DOI: 10.5220/0006488201650172

On Deep Learning in Cross-Domain Sentiment Classification

Autoren: Giacomo Domeniconi, Gianluca Moro, Andrea Pagliarani, Roberto Pasolini
Veröffentlicht in: Proceedings of the 9th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management, 2017, Seite(n) 50-60, ISBN 978-989-758-271-4
Herausgeber: SCITEPRESS - Science and Technology Publications
DOI: 10.5220/0006488100500060

Goal-Based Selection of Visual Representations for Big Data Analytics

Autoren: Matteo Golfarelli, Tommaso Pirini, Stefano Rizzi
Veröffentlicht in: 2017, Seite(n) 47-57
Herausgeber: Springer International Publishing
DOI: 10.1007/978-3-319-70625-2_5

Wind Speed Forecasting via Structured Output Learning

Autoren: Appice Annalisa, Lanza Antonietta, Malerba Donato
Veröffentlicht in: 2018
Herausgeber: CEUR-WS.org
DOI: 10.5281/zenodo.1438121

An OWL Ontology for Supporting Semantic Services in Big Data Platforms

Autoren: Domenico Redavid, Roberto Corizzo, Donato Malerba
Veröffentlicht in: 2018 IEEE International Congress on Big Data (BigData Congress), 2018, Seite(n) 228-231, ISBN 978-1-5386-7232-7
Herausgeber: IEEE
DOI: 10.1109/BigDataCongress.2018.00039

Distributed Learning of Process Models for Next Activity Prediction

Autoren: Michelangelo Ceci, Michele Spagnoletta, Pasqua Fabiana Lanotte, Donato Malerba
Veröffentlicht in: Proceedings of the 22nd International Database Engineering & Applications Symposium on - IDEAS 2018, 2018, Seite(n) 278-282, ISBN 9781-450365277
Herausgeber: ACM Press
DOI: 10.1145/3216122.3216125

Schema Profiling of Document Stores

Autoren: Gal; Go; Ri
Veröffentlicht in: Proceedings of the 25th Italian Symposium on Advanced Database Systems, Ausgabe 17, 2017
Herausgeber: CEUR workshop proceeings
DOI: 10.5281/zenodo.1489577

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

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

Big Data Assurance Evaluation: An SLA-Based Approach

Autoren: Claudio Agostino Ardagna, Ernesto Damiani, Maria Krotsiani, Christos Kloukinas, George Spanoudakis
Veröffentlicht in: 2018 IEEE International Conference on Services Computing (SCC), 2018, Seite(n) 299-303, ISBN 978-1-5386-7250-1
Herausgeber: IEEE
DOI: 10.1109/scc.2018.00053

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

Autoren: Claudio Ardagna, Paolo Ceravolo, Guido Lena Cota, Muhammad Muneeb Kiani, Ernesto Damiani
Veröffentlicht in: IEEE Big Data Congress 2017, 2017
Herausgeber: IEEE

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

Autoren: Claudio Ardagna, Paolo Ceravolo, Ernesto Damiani, Valerio Bellandi, Michele Bezzi, Cedric Hebert
Veröffentlicht in: IEEE Big Data Congress 2017, 2017
Herausgeber: IEEE

Scouting Big Data Campaigns using TOREADOR Labs

Autoren: C.A. Ardagna, P. Ceravolo, E. Damiani, M. Leida
Veröffentlicht in: EDBT/ICDT 2017 : Workshops, 2017
Herausgeber: CEUR-WS

Facing big data variety in a model driven approach

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

A Formal Semantics for Data Analytics Pipelines

Autoren: Drocco, Maurizio; Misale, Claudia; Tremblay, Guy; Aldinucci, Marco;
Veröffentlicht in: 2017
Herausgeber: Cornell university library
DOI: 10.5281/zenodo.571802

Validation of Service Level Agreements using Probabilistic Model Checking

Autoren: Maria Krotsiani, Christos Kloukinas, George Spanoudakis
Veröffentlicht in: 2017
Herausgeber: IEEE

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

Autoren: Claudio A. Ardagna, Paolo Ceravolo, Ernesto Damiani
Veröffentlicht in: 2016 IEEE International Conference on Big Data (Big Data), 2016, Seite(n) 3638-3644, ISBN 978-1-4673-9005-7
Herausgeber: IEEE
DOI: 10.1109/BigData.2016.7841029

Rechte des geistigen Eigentums

Patent (2)

A privacy-aware approach to threat detection

Antrags-/Publikationsnummer: US 83412764
Datum: 2017-06-27

A privacy-aware approach to threat detection

Antrags-/Publikationsnummer: US 83412764
Datum: 2017-06-27