Publication entry:

Atlas: A toolset for efficient model-driven data exchange in data spaces

Full citation: Klímek, J., Koupil, P., Škoda, P., Bártík, J., Stenchlák, Š., Nečaský, M., & Holubová, I. (2023). Atlas: A toolset for efficient model-driven data exchange in data spaces. 2023 ACM/IEEE International Conference on Model Driven Engineering Languages and Systems Companion (MODELS-c), 4–8.
BibTeX citation file download: klimek2023atlas.bib

Internal authors

Jakub Klímek

Associate professor

Pavel Koupil

Assistant professor

Petr Škoda

Researcher

Štěpán Stenchlák

PhD student

Martin Nečaský

Professor

Irena Holubová

Associate professor

Research topics

Data on the web

Working with data on the Web is difficult due to numerous issues which an interested data consumer can come across, the main ones being data interoperability issues on various levels of abstraction. To support the ecosystem of data exchange on the Web, we are working on a set of techniques and tools for proper publishing and consumption of data on the Web, which include data cataloging, transformation, querying and visualization tools. We put data-centricity, data semantics and data distribution into the core of our work.