to discuss different approaches for semantic interoperability in and between data spaces (e.g. ontologies and controlled vocabularies, SHACL shapes, JSON schemas, etc…), and
to raise awareness for and discuss cross-domain (semantic) interoperability concepts (e.g. methodologies, vocabularies), and
to bridge the gap between such concepts, overall and particular in regards to standardisation.
Who is the Workshop addressed to?
You are a researcher, decision maker or practitioner
You work in the development and operation of European (common) data spaces, data markets and other web-based data management systems
You know about a data sharing, trading and data collaboration
You want to discuss requirements, standards, tools, licenses and more regarding (semantic data) interoperability in data spaces
What a domain contribution is?
We are asking for contributions from different domains along the Common European Data Spaces and beyond, like
Agriculture
Cultural Heritage
Energy
Finance
Greed Deal
Health
Language
Manufacturing
Media
Mobility
Public Administration
Research & Innovation
Skills
Tourism
This one-day workshop will be a mix of presentations, interactive parts and discussions
The output document will summarise all the inputs and discussions about mainly (a) different approaches of semantic interoperability inside and between data spaces, (b) current concrete applied methods of semantic interoperability in specific domains and thereby highlighting differences and overlaps. The outcome will be published freely available under an open license / under open access.
The Position Papers will be published on the Workshop’s website.
If the number of Position Papers exceeds the availability of slots for presentation, a programme committee will select the papers that will be presented.
Plus: provision of URLs to the topic (if applicable), and the bio(s) of the speaker(s).
A Semantic Interoperability Toolkit for Sharing Energy Data and Models in a Manufacturing Data Space
This paper explores achieving semantic interoperability in a manufacturing data space, focusing on sharing energy-related data and ML models to achieve energy efficiency. It introduces a toolkit to enhance the use of existing semantic ontologies during data preparation and ML model training workflows and prepares their outputs to be shared in an IDSA-based ecosystem.
Authors: Tharindu Ranathuna, Sourabh Bharti, Alan McGibney
The increase in IoT devices has generated the need to homogenize heterogeneous data. Although standards exist to achieve interoperability, their technical implementation varies, making quantitative measurement difficult. We propose a methodology to evaluate and certify interoperability based on an agreed standard, ensuring communication between heterogeneous systems.
Authors: Juan Cano-Benito, Andrea Cimmino, Raul Garcıa-Castro
Agriculture Data Space for Sovereign Data Sharing and Semantic Integration
We present an agriculture data space that provides data sovereignty by design and postpones data integration until needed. It supports different agricultural use cases, semantic data integration and guarantees data originators remain in control because data consumers can use it but without accessing the original data or a copy of it.
Authors: Roberto Garcıa and Rosa Gil
Universitat de Lleida, Spain
#DPP #interoperability #lowcode
Towards Data Interoperability for the Digital Product Passport Ecosystem
The Digital Product Passport (DPP) initiative is a European effort to boost the circular economy by enhancing product sustainability and lowering environmental impact. I will present a proposal for a common foundational schema for DPP data to ensure solution interoperability, implemented using the low-code BESSER platform to quickly generate a comprehensive software DPP infrastructure.
Authors: Iván Alfonso, Daniele Pagani, and Jordi Cabot
Luxembourg Institute of Science and Technology (LIST)
#KnowledgeGraphs #SemanticIntegration
An Evolving Data Space: A framework for unifying domain knowledge and data
This paper proposes a framework that leverages evolving Knowledge Graphs (KGs) to address semantic integration challenges in Data Spaces. The framework continuously enriches a KG by integrating heterogeneous data and generating new domain knowledge through intelligent unifiers. This process results in an updated domain reference model that adapts to new knowledge and supports further semantic integrations.
Authors: Pedro Guimaraes, Antonio C. Vieira, and Maribel Y. Santos
Raising the Role of Vocabulary Hubs for Semantic Data Interoperability in Dataspaces
Europe is heavily investing in dataspaces for industrial data sharing, but faces semantic interoperability challenges. The Vocabulary Hub aims to enhance metadata descriptions and integrate semantic descriptions into datasets, thereby improving data querying. We provide a solution by integrating the PoolParty and GraphDB products, further developed in the Digital Europe project UNDERPIN focusing on refinery and wind farm data.
Authors: Robert David, Petar Ivanov, Vladimir Alexiev
Cascading Effects Analysis Enabled by Semantic Interoperability in the Resilience Data Space
Crisis and their cascading effects stress the need for resilient critical infrastructure. A lack of standardized methods for handling diverse, decentralized data hinders it. This paper explores how semantic interoperability in a resilience data space allows a knowledge graph-based approach to analyze such effects, enabling data-driven crisis management.
Authors: Federico Gutt, Martin Huschka, Alexander Stolz
Fraunhofer EMI for High-Speed Dynamics, Albert-Ludwigs-Universität Freiburg, Institut für nachhaltige technische Systeme
#dataspace #ram4
IDSA’s position paper on "Semantic Interoperability"
Unlock the potential of your data in a data space by understanding its full context! Semantic interoperability is the cornerstone of efficient data sharing and a thriving data economy. Dive into our latest paper to explore the essential frameworks needed both during design and at runtime.
Author: Sebastian Steinbuß
International Data Spaces Association (IDSA)
#cancer #treatment #multimodaldata
Advancing Cancer Treatment by Strategically Integrating Multimodal Data: Challenges and Opportunities
Strategically integrating multimodal data holds the potential for advancing cancer treatment. However, it poses significant challenges, particularly in interoperability, governance, and regulations. Exploiting shared, controlled vocabularies, clear semantic relationships, and addressing also governance and regulation problems, can lead to more effective and personalized cancer treatments.
Authors: Haridimos Kondylakis, Angelina Kouroubali, Dimitrios G. Katehakis
Department of Computer Science, UOC; FORTH-ICS; HDHC
The integration and management of heterogeneous data pose challenges across various applications, requiring scalable solutions to handle large volumes of data, maintain compatibility, and ensure security, privacy, and regulatory compliance. This position paper presents a federated data and service catalogue based on the Eclipse XFSC framework. It presents enhancements such as individual application profiles, metadata service offerings, trusted management, interoperable data sharing and ecosystem integration. These contributions address the critical requirements of federated dataspaces, providing a robust, secure and scalable infrastructure for effective data integration and management across diverse applications.
Authors: Johannes Theissen-Lipp, Ahmad Hemid, Christoph Lange and Christina Gillmann
Fraunhofer FIT; RWTH Aachen University
#dataspace #vocabularies
Establishing semantic interoperability across data spaces: a solution for sharing vocabularies
Sharing data across different sectors holds tremendous value. However, this comes with challenges, as each sector develops its own vocabularies and tools. These vocabularies are not accessible across different sectors, and consequently, thus not being used in other sectors. To bridge this gap, our position paper describes a standardized solution to exchange vocabularies across data sharing communities.
Authors: Wouter van den Berg, Jelte Bootsma, Jan Pieter Wijbenga, Linda Oosterheert, Michiel Stornebrink
BDVA’s position paper on “Data Sharing Spaces and Interoperability
At the Workshop on Semantic Interoperability in Data Spaces, Rigo Wenning, one of the main editors, will present the BDVA Position Paper on Data Sharing Spaces and Interoperability. The presentation will focus the reasons why semantic interoperability is a key concern in data spaces. It will then explore ways to create interoperable knowledge on data and how that will support the data economy.
Authors: Antonio Kung, Ray Walshe and Rigo Wenning
AD4GD semantic interoperability approach for a Green Deal Data Space
AD4GD project is designing and implementing a set of building blocks to support Green Deal (GD) Data Space(s) providing interoperability support for the heterogeneous and increasingly growing set of data and services in the various GD areas, including a modular semantic data model that is based on existing standards, data harmonization mechanisms and the exploitation of standard interfaces.
Authors: Raul Palma, Bogusz Janiak, Rob Atkinson, Piotr Zaborowski, Alejandro Villar,Francesca Noardo, Alba Brobia Ansoleaga, Ivette Serral, Joan Maso Pau, Lucy Bastin
Interconnect Semantic Interoperability Framework in support of CERF for energy in data exchange and aggregation in semantic interoperable manner towards alignment with European Energy Data Spaces
The paper presents a semantic interoperability approach at the heart of the first version of the Common European Reference Framework (CERF) aimed at establishing interoperability at scale as needed by the European energy system. The paper also reflects on how this approach maps onto the main objectives set for the European Data Space for Energy.
Authors: Milenko Tošić, Fábio Coelho, David Rua, Barry Nouwt, Gjalt Loots and Daniel Alonso
VizLore Labs Foundation; INESC TEC & U.Minho; INESC TEC; TNO; Big Data Value Association