- 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.
- 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
- 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.
- Component / Service / App
- RENVIS
SOFIA DSS
SOFIA DSS is a model and data-driven system that addresses the challenge of personnel evaluation and recruitment.
- 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.
- 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.
- 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).
- 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
- 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.
- 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.