on Semantic Interoperability in Data Spaces

1st of October 2024
Budapest, Hungary







“Data and metadata management have become a crucial factor for business success and innovation.”

Martin Kaltenböck
CFO, Semantic Web Company

Our mission

The continuously increasing number of Data Spaces and datamarkets in Europe, as well as the related funding lines and regulations by the European Commission regarding the topics of (secure) data sharing of industrial and personal related data as well as research data clearly shows the increasing need to discuss, specify and realise (syntactic and semantic) data interoperability between such data spaces and beyond.

This workshop series and accompanying activities brings together researchers, decision makers and practitioners in the field of the development and operation of European (common) Data Spaces, datamarkets and other web-based data management systems that allow data sharing, trading and data collaboration, to discuss requirements, standards, tools, licenses and more regarding (semantic data) interoperability in data spaces.

Outcomes and results

The main objectives are: to discuss, work on and specify

  • requirements for syntactic and semantic interoperability, outcomes will be published freely available under an open license / under open access;

  • concrete tools and thereby the provision of a landscape of existing tools and list of vocabularies. All outcomes will be published freely available under an open license / under open access;​​

  • the need for related standardisation, as well as.

Meet our Program Committee

Meet the voices of our international community who are as enthusiastic about SEMANTIC as we are.

Join the Program

Fill out the form and let us know why you’ve got what it takes to be a SEMANTIC Evangelist.

Further reading

Semantic Interoperability in Data Spaces

IDSA Position Paper | April 2024

We invite you to download and read the recently published position paper “Semantic Interoperability in Data Spaces”. This paper was written by members of the IDSA and explores key concepts in semantic interoperability within data spaces, presenting main ideas from the Reference Architecture Model version 4 (RAM 4). It explains how these concepts not only apply to data spaces but also intersect with broader interoperability principles, drawing on best practices from various projects. 

It is meant as further reading and is not directly connected to the workshop.