Work Packages

WP

Number

 

WP Title

Lead beneficiary10­
WP1 Building Domain Knowledge University of Sheffield
WP2 Semantic Data Integration for Fashion Industry University of FRIBOURG
WP3 Crowd-based Fashion Data Sampling, Curation and Cleansing University of Sheffield
 

WP4

In-Database-Mining and Deep Learning  

BEUTH-HS

WP5 Fashion Analysis in Social Media Streams Fashwell
WP6 Make Images Searchable By Text Zalando
WP7 Dissemination and Exploitation University of Sheffield
WP8 Project Management University of Sheffield
WP9 Ethics requirements University of Sheffield

 

 

Public Deliverables

D1.1 Survey document of existing datasets and data integration solutions (M6) WP1 1 – USFD Report

 

D1.4 Software Requirements: SSM library for time series modelling and trend prediction WP1 4 – Zalando Report

 

D2.1 Named Entity Recognition and Linking methods WP2 3 – UNI FRIBOURG Other

 

D2.3 Data integration solution WP2 6 – MDBS Other

 

D2.4 Time Series Operators for MonetDB WP2 6 – MDBS Other

 

D3.1 A set of crowdsourcing interfaces WP3 1 – USFD Other

 

D3.2 A set of aggregation algorithms and their experimental evaluation WP3 3 – UNI FRIBOURG Other

 

D3.3 Surveys design and crowdsourcing tasks WP3 1 – USFD Report

 

D4.1 Report on text joins WP4 2 – BEUTH-HS Report

 

D4.2 Demo on text joins WP4 2 – BEUTH-HS Demonstrator

 

D4.3 Relation Extraction with Stacked Deep Learning WP4 2 – BEUTH-HS Report

 

D4.4 Demo on Relation Extraction with Stacked Deep Learning WP4 2 – BEUTH-HS Demonstrator

 

D5.1 Scalable Crowdsourced Social Media Annotation WP5 5 – Fashwell Demonstrator

 

D5.2 Social Media Post Linking WP5 5 – Fashwell Demonstrator

 

D5.3 Early Demo on Fashion Trend Prediction WP5 3 – UNI FRIBOURG Demonstrator

 

D5.4 The classification algorithm and its evaluation on fashion time series WP5 3 – UNI FRIBOURG Other

 

D5.5 Demo on Fashion Trend Prediction WP5 3 – UNI FRIBOURG Demonstrator

 

D6.3 Early Demo on textual image search WP6 4 – Zalando Demonstrator