University of Milano-Bicocca research lab
At the University of Milano-Bicocca, the DatAI group develops semantic and human-in-the-loop methods for managing large, heterogeneous data and building value-added AI services. Each area below is connected to verified projects and public artifacts.
Choose a line of research to connect its question, people and public work.
Active and completed projects connect DatAI methods to data compliance, predictive maintenance, digital health, open data, knowledge graphs and public services.
Status reviewed 2 September 2026
Active
2025–27
A compliance framework and toolbox for data and AI operations and pipelines, validated across seven application areas.
Horizon Europe
GA 101189771
Active
2025–28
A data- and AI-driven platform for anticipating failures, estimating degradation and improving maintenance planning across heterogeneous vehicle fleets.
MIMIT
Accordi per l’innovazione
Active
2023–26
Digital Intervention in Psychiatric and Psychologist Services integrates clinical workflows, patient support and AI-assisted decision tools across web and mobile services.
MIMIT
F/310240/03/X56
Completed
2022–25
A toolbox for scalable data-enrichment pipelines spanning discovery, understanding, cleaning, transformation, integration and enrichment.
Horizon Europe
GA 101070284
Completed
2017–21
Food Social Sensor Network combined territorial, dietary and biomedical evidence with digital services to support healthy ageing in metropolitan Milan.
Regione Lombardia
POR FESR 225155
Completed
2018–19
An applied research prototype combining structured football data, knowledge graphs and neural generation while keeping journalists in control of review and revision.
Applied research
NLG + knowledge graphs
Completed
2017–19
Cross-sector and cross-language data integration enriched with weather and event information for analytics along the shopper journey.
Horizon 2020
GA 732590
Completed
2017–19
Models and services for collecting, reconciling, linking, validating and providing cross-border company data from heterogeneous sources.
Horizon 2020
GA 732003
Completed
2014–15
Smart, cloud-based and citizen-centred service scenarios designed to support reusable digital public-administration processes.
Regione Lombardia
CUP E41I13000220009
Completed
2013–15
Components Supporting the Open Data Exploitation lowered technical and organisational barriers to repeatable, traceable Open Data publication and reuse.
EU FP7
GA 611358
Completed
2011–14
Services and meta-services for planning, designing and implementing value-added e-government workflows around user needs.
MIUR — PON
PON01_00861
Completed
2010–12
Mobile Services for AgroFood used smart labels to deliver contextual product information and support interactions among producers, retailers and consumers.
Regione Lombardia
Mobile services
Peer-reviewed methods, datasets and prototypes provide inspectable evidence for the four research areas.
Demo
2025
Assisted document analysis through entity-driven faceted search, conversational querying, annotation correction and human-in-the-loop knowledge refinement.
Research areaKnowledge-intensive document analysis
Dataset
2025
A semantic table interpretation dataset containing 838,930 tables extracted from 63 million English Wikipedia pages.
Research areaSemantic data & knowledge graphs
Method
2025
A method for scalable reasoning with reliable facts, using constrained generation to improve access to factual knowledge.
Research areaKnowledge-intensive document analysis
Method
2025
A modular prompting approach for generating directed acyclic graphs that represent data-enrichment pipelines.
Research areaData & AI pipeline engineering
Framework
2024
An interactive environment for visually defining and exploring semantic data-enrichment pipelines.
Research areaSemantic data & pipeline engineering
Framework
2024
Compact pattern-based profiles of knowledge graphs for understanding, exploration and data-quality assessment.
Research areaSemantic data & knowledge graphs
Platform
2021
A decentralized Function-as-a-Service architecture using peer-to-peer coordination to redistribute load across federated edge nodes.
Research areaEdge–cloud orchestration
Dataset
A GeoSPARQL knowledge graph for cultural and service-aware urban exploration in Milan.
RDF · GeoSPARQL · SHACL
Explore the software, frameworks and reusable resources behind these research areas, with direct links to project websites and Git repositories.
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