Abstrakt
The European Union has recently outlined the idea of data spaces, which require complex support for various aspects of data management, such as specification, publication, storage, access, etc.
In this paper, we introduce Atlas, an extensible toolset integrating techniques and approaches from two worlds -- interoperable model-driven data exchange and multi-model data management.
On the one hand, the toolset supports consistent model-driven authoring of data specifications based on common semantic vocabularies, including their technical artifacts such as data schemas for CSV, XML and JSON, and standards-based ontology mappings to ensure interpretability of the data as RDF.
Data producers then provide their data according to the specifications, in a format with which they are the most comfortable.
On the other hand, Atlas enables the users to efficiently store and query the provided data using multi-model databases.
It does so by exploiting the compliance of the provided data with the data specification for minimizing the manual effort needed to store the data in the data consumer's database, regardless of the data format chosen by the data producer.