most citedTowards Enabling FAIR Dataspaces Using Large Language Models

1 citations · 1 across the 5 of their papers we have counts for

collaborators

5 papers

cs.DB2025

A Service Architecture for Dataspaces

Benedikt T. Arnold, Christoph Lange, Christina Gillmann +1

Dataspaces are designed to support sovereign, trusted and decentralized data exchange between participants forming an ecosystem. They are standardized by initiatives such as the In…

cs.CL2025

From Instructions to ODRL Usage Policies: An Ontology Guided Approach

Daham M. Mustafa, Abhishek Nadgeri, Diego Collarana +4

This study presents an approach that uses large language models such as GPT-4 to generate usage policies in the W3C Open Digital Rights Language ODRL automatically from natural lan…

cs.DB2025

XFSC: A Catalogue of Trustable Semantic Metadata for Data Services and Providers

Benedikt T. Arnold, Khalil Baydoun, Diego Collarana +7

In dataspaces, federation services facilitate key functions such as enabling participating organizations to establish mutual trust and assisting them in discovering data and servic…

cs.RO2024

LiDAR-based Registration against Georeferenced Models for Globally Consistent Allocentric Maps

Jan Quenzel, Linus T. Mallwitz, Benedikt T. Arnold +1

Modern unmanned aerial vehicles (UAVs) are irreplaceable in search and rescue (SAR) missions to obtain a situational overview or provide closeups without endangering personnel. How…

cs.CL2024★ 1 cited

Towards Enabling FAIR Dataspaces Using Large Language Models

Benedikt T. Arnold, Johannes Theissen-Lipp, Diego Collarana +4

Dataspaces have recently gained adoption across various sectors, including traditionally less digitized domains such as culture. Leveraging Semantic Web technologies helps to make…