Public Deliverables
D1.1 – Survey Document of Existing Datasets and Data Integration Solutions
D1.4 – Software Requirements: SSM Library for Time Series Modelling and Trend Prediction
D2.1 – Named Entity Recognition and Linking Methods
D2.2 – Requirement Analysis Document
D2.3 – Data Integration Solution
D2.4 – Time Series Operators for MonetDB
D3.1 – A Set of Crowdsourcing Interfaces
D3.2 – A Set of Aggregation Algorithms and Their Experimental Evaluation
D3.3 – Surveys Design and Crowdsourcing Tasks
D4.3 – Relation Extraction with Stacked Deep Learning
D4.4 – Demo on Relation Extraction
D5.1 – Scalable Crowdsourced Social Media Annotation
D5.2 – Product Taxonomy Linking
D5.3 – Early Demo for Trend Prediction
D5.4 – The Classification Algorithm and its Evaluation on Fashion Time Series
D5.5 – Demo for Trend Prediction
D6.3 – Early Demo on Textual Image Search
D6.5 – Demo on Textual Image Search