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Research For Evolution

Data and Information Spaces

Data Spaces are commonly part of data management techniques and usually encountered in data integration systems. Their purpose is to reduce data setting up efforts using existing matching/mapping while improve the system during its runtime. Data Spaces are used by our team to support data management activities in applications requiring dynamic data management and semantic integration.

Projects In Data and Information Spaces

PLANET
Blockchain
Transport & Logistics
ZeroW
Data Spaces
Artificial Intelligence
Food & Agriculture
PROBONO
Digital Twins
Data Spaces
Smart Cities and Buildings
DT4GS
Digital Twins
Data Spaces
Shipping
ReNEW
Digital Twins
Data Spaces
Shipping