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EW-Shopp - Supporting Event and Weather-based Data Analytics and Marketing along the Shopper Journey

Total Cost €


EC-Contrib. €






Project "EW-Shopp" data sheet

The following table provides information about the project.


Organization address
city: MILANO
postcode: 20126

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 Italy [IT]
 Project website
 Total cost 3˙566˙250 €
 EC max contribution 2˙902˙875 € (81%)
 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  2019-12-31


Take a look of project's partnership.

# participants  country  role  EC contrib. [€] 
2    STIFTELSEN SINTEF NO (TRONDHEIM) participant 661˙250.00
3    INSTITUT JOZEF STEFAN SI (LJUBLJANA) participant 341˙250.00
4    BROWSETEL (UK) LIMITED UK (LONDON) participant 340˙375.00
5    JOT INTERNET MEDIA ESPAÑA SL ES (Madrid) participant 244˙125.00
8    GFK EURISKO SRL IT (MILANO) participant 202˙125.00
9    MEASURENCE LIMITED IE (DUBLIN) participant 200˙375.00
10    BIG BANG, TRGOVINA IN STORITVE, DOO SI (LJUBLJANA) participant 98˙875.00


 Project objective

In this project we aim at supporting companies operating in the fragmented European ecosystem of the eCommerce, Retail and Marketing industries to increase their efficiency and competitiveness by leveraging deep customer insights that are too challenging for them to obtain today. Improved insights will result from the analysis of large amount of data, acquired from different sources and sectors, and in multiple languages. The integration of consumer and market data collected by different business partners will ensure to cover customer interactions and activities across different channels, providing insights on rich customer journeys. These integrated data will be further enriched with information about weather and events, two crucial factors impacting on consumer choices. By disruptively increasing the analytical power coming from the integration of cross-sectorial and cross-language data sources and new data sources companies will deploy real-time responsive services for digital marketing, reporting-style services for market research, and advanced data and resource management services for Retail & eCommerce and their technology providers. As of today, developing these services is too costly or nearly impossible for a large number of European companies. Even when these companies have developed excellent skills in analyzing data in their sector, they lack knowledge, technology and resources that are needed to integrate and analyze large and divers data in a timely manner. Enriching business data with weather data is difficult and costly. Using event data to obtain precise customer and market insights is even more challenging because of the difficulty of collecting and accessing data about events at a large scale. Language barriers, lack of agreed models and shared systems of identifiers to interlink data make these data integration tasks even only more challenging.


List of deliverables.
EW-Shopp Platform – v2 Other 2020-04-07 18:26:28
EW-Shopp Platform evaluation assessment Documents, reports 2020-04-07 18:26:05
EW-Shopp components as a service: data visualization, navigation and quality assessment Other 2020-04-07 18:25:14
Social Engagement, dissemination and exploitation report Documents, reports 2020-04-07 18:25:41
Update of Exploitation and Dissemination Strategy Documents, reports 2020-04-07 18:25:48
Event, weather and multilingual data services Other 2020-04-07 18:25:56
EW-Shopp components as a services: final release Other 2020-04-07 18:25:32
EW-Shopp components evaluation assessment Documents, reports 2020-04-07 18:25:23
Event, weather and multilingual data services specification Documents, reports 2020-03-27 10:59:11
Interoperability requirements specification Documents, reports 2020-03-27 10:59:11
Data Management Plan Open Research Data Pilot 2020-03-27 10:59:12
Spatial, temporal and product data format specification Documents, reports 2020-03-27 10:59:12
EW-Shopp Platform – v1 Other 2020-03-27 10:59:12
Exploitation and Dissemination Strategy Outline Documents, reports 2020-03-27 10:59:12
EW-Shopp components specification and design Documents, reports 2020-03-27 10:59:12
EW-Shopp components as a service: transformation, linking and analytics Other 2020-03-27 10:59:11
Website Websites, patent fillings, videos etc. 2020-03-27 10:59:11

Take a look to the deliverables list in detail:  detailed list of EW-Shopp deliverables.


year authors and title journal last update
List of publications.
2017 Nivethika Mahasivam, Nikolay Nikolov, Dina Sukhobok, Dumitru Roman
Data Preparation as a Service Based on Apache Spark
published pages: 125-139, ISSN: , DOI: 10.1007/978-3-319-67262-5_10
European Conference on Service-Oriented and Cloud Computing 2020-03-27
2018 Renzo Arturo Alva Principe, Blerina Spahiu, Matteo Palmonari, Anisa Rula, Flavio De Paoli, Andrea Maurino
ABSTAT 1.0: Compute, Manage and Share Semantic Profiles of RDF Knowledge Graphs.
published pages: 170-175, ISSN: , DOI: 10.1007/978-3-319-98192-5_32
Extended Semantic Web Conference (Posters & Demos) 2018 2020-03-27
2017 Marco Cremaschi, Flavio De Paoli
Toward Automatic Semantic API Descriptions to Support Services Composition
published pages: 159-167, ISSN: , DOI: 10.1007/978-3-319-67262-5_12
ESOCC 2017: Service-Oriented and Cloud Computing 2020-03-27
2018 Michele Ciavotta, Flavio De Paoli, Aljaz Kosmerlj, Nikolay Nikolov
EW-Shopp project: Supporting Event and Weather-based Data Analytics and Marketing along the Shopper Journey
published pages: , ISSN: , DOI:
Presented at ESOCC 2018: Project Showcase 2020-03-27
2018 Tommaso Di Noia, Corrado Magarelli, Andrea Maurino, Matteo Palmonari, Anisa Rula
Using Ontology-Based Data Summarization to Develop Semantics-Aware Recommender Systems
published pages: 128-144, ISSN: , DOI: 10.1007/978-3-319-93417-4_9
Extended Semantic Web Conference 2018 2020-03-27
2019 Shady Abd El Kader, Nikolay Nikolov, Bjørn Marius Von Zernichow, Vincenzo Cutrona, Matteo Palmonari, Brian Elvesæter, Ahmet Soylu and Dumitru Roman
Modeling and Publishing French BusinessRegister (Sirene) Data as Linked Data Using the euBusinessGraph Ontology
published pages: , ISSN: , DOI:
Proceedings of the 7th International Workshop on Semantic Statistics, co-located with the 18th International Semantic Web Conference ISWC 2019 Vol-2549 2020-03-27
2018 Blerina Spahiu, Vicenzo Cutrona, Mateo Palmonari
Towards a Unified Geospatial Data Reconciliation Platform for Data Analytics
published pages: , ISSN: , DOI:
Accepted and presented at 2nd Workshop on Mobility Analytics for Spatio-temporal and Social Data, MATES 08, co-located with VLDB 2018 2020-03-27
2019 Valerio Di Carlo, Federico Bianchi, Matteo Palmonari
Training Temporal Word Embeddings with a Compass
published pages: 6326-6334, ISSN: 2374-3468, DOI: 10.1609/aaai.v33i01.33016326
Proceedings of the AAAI Conference on Artificial Intelligence 33 2020-03-27
2017 Bjørn Marius von Zernichow, Dumitru Roman
Usability of Visual Data Profiling in Data Cleaning and Transformation
published pages: 480-496, ISSN: , DOI: 10.1007/978-3-319-69459-7_32
\"OTM Confederated International Conferences\"\" On the Move to Meaningful Internet Systems\"\"\" 2020-03-27
2019 Guillermo Vega-Gorgojo, Laura Slaughter, Bjorn Marius Von Zernichow, Nikolay Nikolov, Dumitru Roman
Linked Data Exploration With RDF Surveyor
published pages: 172199-172213, ISSN: 2169-3536, DOI: 10.1109/access.2019.2956345
IEEE Access 7 2020-03-27
2019 Vincenzo Cutrona, Michele Ciavotta, Flavio De Paoli, and Matteo Palmonari
ASIA: a Tool for Assisted Semantic Interpretation and Annotation of Tabular Data
published pages: , ISSN: , DOI:
ISWC Satellites 2019 2020-03-27

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