- 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.
- Other
- Data Science Lab, University of Piraeus
Distributed Sub-trajectory Clustering
Trajectory clustering is an important operation of knowledge discovery from mobility data. Especially nowadays, the need for performing advanced analytic operations over massively produced data, such as mobility traces, in efficient and scalable ways is imperative.
- Platform / Framework
- I-BiDaaS Consortium
Specification of an end-to-end Big Data as-a-self-service platform
This innovation corresponds to specification of an end-to-end platform for Big Data as-a-self-service, developed within the I-BiDaaS project.
- 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).
- COVID-19 Other
- Marcello Petitta
Climate, pollution, meteo data for COVID-19 analysis
The solution is provided in form of a web maps from which all the available data can be explored in terms of fatalities, hospitalization and affected people. Moreover, the climatic condition in terms of temperature, humidity and pollution data.
- 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.