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Big&Open Data Innovation Laboratory

Group
The Big and Open Data Innovation Laboratory (BODaI-Lab) of the University of Brescia, Italy, aims to create working groups that develop – within specific projects – innovative methods, techniques and tools for the retrieval, management and analysis of open and big data with a multidisciplinary approach. The main purpose is to support research within the University of Brescia, in the fields of medical, engineering, economic, financial, business, social and legal scientific research. Particular attention is devoted to technology transfer to the PA and the Industry sector.
Address:
Via S. Faustino 74/b - 25122 Brescia (Italy)
date/time interval:
(December 1, 2015 - )
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Overview

Acronym

BODal-Lab

Term type

Gruppo di ricerca coordinata

Linked Units

Department of Economics and Management

Research

Concepts (23)


62.02.00 - Consulenza nel settore delle tecnologie dell'informatica

72.11.00 - Ricerca e sviluppo sperimentale nel campo delle biotecnologie

72.20.00 - Ricerca e sviluppo sperimentale nel campo delle scienze sociali e umanistiche

PE1_13 - Probability - (2016)

PE1_14 - Statistics - (2016)

PE6_11 - Machine learning, statistical data processing and applications using signal processing (e.g. speech, image, video) - (2016)

PE6_12 - Scientific computing, simulation and modelling tools - (2016)

PE6_13 - Bioinformatics, biocomputing, and DNA and molecular computation - (2016)

SH1_6 - Econometrics; operations research - (2016)

Goal 3: Good health and well-being

Goal 9: Industry, Innovation, and Infrastructure

Settore INF/01 - Informatica

Settore MED/01 - Statistica Medica

Settore SECS-P/01 - Economia Politica

Settore SECS-P/05 - Econometria

Settore SECS-S/01 - Statistica

Settore SECS-S/02 - Statistica per La Ricerca Sperimentale e Tecnologica

Settore SECS-S/03 - Statistica Economica

Automatica e ingegneria informatica

Bioinformatica

Scienze economiche

Statistica ed epidemiologia

Studi sociali

Free text keywords (4)

  • ascendant
  • decrescent
AI - ARTIFICIAL INTELLIGENCE
BIG DATA
MACHINE LEARNING
STATISTICS
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Research fields (4)

Definition of a software infrastructure, based on Semantic Web and Social Web technologies, including Linked Data techniques (http://lod-cloud.net) and social networking, to classify and cluster big&open data from heterogeneous sources, based on their semantics
Definition of advanced models and methods for knowledge representation, ontology-based semantic processing, reasoning under uncertainty and incompleteness conditions, logic inference, planning, automatic reasoning and, in general, efficient processing focused on problem solving
Design of advanced methods and tools for information sharing and cooperation within contexts featured by a large information background (big&open data)
Development of mathematical and statistical models for data analytics, of methods and tools for statistical analysis, data mining, knowledge discovery and machine learning, data analysis and evaluation, advanced simulation and optimisation
No Results Found

Affiliations

Collaboration with other Workgroups

Basi di Dati Sistemi Informativi e Web

Responsibles

ZUCCOLOTTO Paola

Members (3)

BIANCHINI DEVIS
CALZA STEFANO
MINIACI Raffaele

Contact

Email address

paola.zuccolotto@unibs.it

Web site

bodai.unibs.it
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