Call for Papers - Semantics in Dataspaces (SDS25) @ESWC 2025

Dear All,

 

Let me follow the TEXT2KG call for papers with the SDS25 call for papers.

 

You are cordially invited to contribute to our upcoming workshop, The Third
International Workshop on Semantics in Dataspaces (SDS 2025), on 01 or 02
June 2025, to be held in conjunction with ESWC25 in Portoroz, Slovenia.

 

 <https://dbis.rwth-aachen.de/SDS25/> https://dbis.rwth-aachen.de/SDS25/

 

— Important Dates — 

Submission: March 06, 2025

Notification of acceptance: April 03, 2025

Registration: tba

Camera-Ready submission: April 17, 2025

Workshop at ESWC 2025: Full day on June 01 or 02, 2025

 

— Workshop Overview — 

Dataspaces, which are critical to seamless and trusted data sharing, have
gained prominence in Europe with the European Data Governance Act (DGA).
This legislation defines terms and aims to increase trust, expand data
availability, and promote common dataspaces. The impact spans sectors such
as data providers, researchers, businesses, and citizens. Initiatives like
the European Open Science Cloud and the adoption of the FAIR Data Principles
further contribute to the relevance of dataspaces. Efficient data sharing
within dataspaces requires semantic interoperability, for which the Semantic
Web community has a long history of developing RDF-based solutions. 

The Semantics in Dataspaces (SDS) 2025 workshop seeks to advance semantic
methods and solutions for dataspaces by encouraging collaboration between
researchers and practitioners. It aims to advance the expressiveness,
standardization, and integration of semantic technologies in dataspace
architectures. The workshop promises interactive sessions, presentations,
and discussions to drive advances in semantics for dataspaces. 

 

— Topics of Interest — 

The topics of this workshop aim to discuss both conceptual definitions and
actual implementations of dataspaces, and to promote the role of the
Semantic Web in these. The main topics of this workshop include but are not
limited to:

 

Conceptual Perspective: 

•             Surveys on definitions and visions

•             What are dataspaces and what are their core elements?

•             How are components and data life cycles structured?

•             Formal models of dataspaces

•             The role of stakeholders in decision processes

•             Impact and potential of unique identifiers

•             Conceptual reusable assets

State-of-the-art Implementations: 

•             How do arising dataspaces coincide/differ with each other?

•             Requirements of customers, stakeholders, and politics

•             Who drives their implementations and what are their technology
readiness levels?

•             Common reusable elements and standards

•             Gap between academic definitions and actual implementations

Semantics for Dataspaces: 

•             Review of arising dataspaces with a focus on the Semantic Web

•             Potential of methods and solutions from the Semantic Web for
dataspaces

•             Tailored benefits of ontologies, unique identifiers,
algorithms, etc.

•             Measuring political, practical, scientific, performance, etc.
challenges for adoption

•             Investigating and reviewing the role of artificial
intelligence and large language models for dataspaces

 

— Important: Integration with W3C Dataspaces Community Group — 

To foster collaboration and create a lasting impact, authors must align
their work with the ongoing efforts of the W3C Dataspaces Community Group,
as documented in the  <https://github.com/w3c-cg/dataspaces/issues> GitHub
issues repository. This integration will promote consistency, reusability,
and collective progress in addressing the core challenges of dataspaces.

Authors are therefore required to identify which generic challenge their
paper addresses within this repository, and explicitly highlight this in
their paper. If the challenge is not listed, they must contribute by adding
it to the repository. Use cases are encouraged but must also be documented
in the GitHub repository to ensure they contribute to a shared knowledge
base.

 

Please note that papers that do not clearly integrate with the W3C Community
Group’s ongoing efforts, including the identification of a relevant
challenge or use case in the repository, may be subject to desk rejection.

 

— Submission — 

We welcome the following types of contributions: 

* Full research papers with original research (10-15 pages).

* Short papers may contain original research in progress (5-9 pages).

* Position / vision papers may discuss vision statements or arguable
opinions (up to 5 pages).

* System / demo papers may contain descriptions of prototypes, demos or
software systems (5-9 pages).

* Resource papers may contain descriptions of resources related to the
workshop topics, such as ontologies, knowledge graphs, ground truth
datasets, etc (5-9 pages).

 

Workshop papers must be self-contained and in English. They should not have
been previously published, should not be considered for publication, and
should not be under review for another workshop, conference, or journal.
Papers must be submitted according to the ESWC submission guidelines. The
PDF files must have all non-standard fonts embedded. Papers will be
evaluated according to their significance, originality, technical content,
style, clarity, and relevance to the workshop. 

 

 

— Workshop Chairs — 

 

* Johannes Theissen-Lipp, RWTH Aachen University, Germany

* Pieter Colpaert, Ghent University, Belgium

* André Pomp, University of Wuppertal, Germany

* Edward Curry, University of Galway, Ireland

* Stefan Decker, RWTH Aachen University, Germany

 

 

— Contact —

 

All questions should be emailed to  <mailto:sds@dbis.rwth-aachen.de>
sds@dbis.rwth-aachen.de.

 

 

-- 

Dr. rer. nat. Johannes Theissen-Lipp (he/him)

 

RWTH Aachen University: Information Systems & Databases

Ahornstraße 55, Building E2, 52074 Aachen

 <http://dbis.rwth-aachen.de/> http://dbis.rwth-aachen.de

 

Fraunhofer Institute for Applied Information Technology FIT

Data Science and Artificial Intelligence – Data Management and Engineering

Schloss Birlinghoven 1, 53757 Sankt Augustin

 <https://www.fit.fraunhofer.de/> https://www.fit.fraunhofer.de