• Platform / Framework
  • I-BiDaaS Consortium

I-BiDaaS: Industrial-Driven Big Data as a Self-Service Solution

The I-BiDaaS project aims to empower end-users to utilize and interact with big data technologies more easily.

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  • Component / Service / App
  • KDD Lab of ISTI-CNR

Individual Crash Prediction based on Mobility Traces

An analytical process is provided, which analyzes the recent GPS traces of a vehicle and assigns to it a probability of having a crash in the next mid-term future (typically, one month ahead).  The process is based on the analysis of historical data of several vehicles in terms of mobility (GPS p

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  • Component / Service / App
  • KDD Lab of ISTI-CNR

Extracting relevant locations from individual mobility

A tool for analyzing the GPS traces of a vehicle to identify the places where a user stops for significant durations, and to aggregate them into locations of interest for the user. Each location is enriched with statistical information about frequency of stops.

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  • Component / Service / App
  • RENVIS

SOFIA DSS

SOFIA DSS is a model and data-driven system that addresses the challenge of personnel evaluation and recruitment.

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  • COVID-19 Other
  • Georgios Petropoulos

Artificial intelligence in the fight against COVID-19

Artificial intelligence can help fight the coronavirus through applications including population screening, notifications of when to seek medical help and tracking how infection spreads.

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  • Component / Service / App
  • BigDataStack Consortium

BigDataStack - High-performance data-centric stack for big data applications and operations

BigDataStack will deliver a complete high-performance data-centric stack of technologies as a unique combined and cross-optimized offering that addresses the emerging needs of data operations and applications.

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  • 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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  • Platform / Framework
  • Alessandro Checco

FashionBrain – novel shopping experience

The FashionBrain solution aims at combining data from different sources to support different fashion industry players by predicting upcoming fashion trends from social media as well as providing personalized recommendations and advanced fashion item search to customers.

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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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