• COVID-19 Medical
  • Arnaldo Maccarone

STAG4Covid-19

STAG4Covid-19 is able to semantically categorize texts according to a given categories taxonomy and to extract from the very text the relevant keywords including Named Entities (NE), i.e. health-related entities. We will use as categories the UMLS Concepts Unique Identifiers (CUIs).

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  • Component / Service / App
  • University Milano Bicocca - UNIMIB

EW_Shopp – Toolkit for Weather/Event-based Data Enrichment and Analytics

The EW-Shopp toolkit aims at helping companies operating in eCommerce, Retail and Marketing industries improve their efficiency and competitiveness by supporting weather and event-based integration and analytics of data collected by companies during the shopper’s journey, which t

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  • Component / Service / App
  • Matteo Palmonari

ABSTAT

ABSTAT is an ontology-driven linked data profiling framework that aims to help users in an effortless understanding of the data.

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  • Process
  • Ephrem Habyarimana

DataBio – Datadriven genomic prediction

Big data-driven genomic prediction and selection algorithms (GS) designed as a solution to the technological limitations (costly and time-consuming) met with current breeding approaches. The intention is to proceed with a value proposition to plant breeding entities locally and globally.

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  • Component / Service / App
  • Università degli Studi di Trento

Modal split services

The QROWD Modal Split toolkit is a disruptive solution to generate dynamic Modal Split (MS) indicators.

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  • Platform / Framework
  • Datawizard

Pharmawizard

Pharmawizard is a digital healthcare solution that empowers citizens to better manage their day-to-day health through user-friendly virtual services such as drug and symptom research, comparison, therapy management and communication with pharmacists and doctors.

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  • Component / Service / App
  • AMIGO srl

SOON

SOON, the Station Observation Outlier fiNder, is an application that identifies errors in large data flows that need real-time filtering and cleaning. Through an easy-to-use interface, SOON provides real-time alerts on detected anomalies, and further statistics on historical data.

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