81 citations · 176 across the 9 of their papers we have counts for
10 papers
Bridging LLM Agents and Data Spaces: An Architectural Mediation Approach using the Model Context Protocol
Jaime Alonso Ruiz, Carlos Aparicio, Gabriel Huecas +2
Data Spaces enable sovereign and governed data sharing across organizational boundaries, but their integration with AI agents remains challenging due to mismatches between probabil…
Authentication and authorization in Data Spaces: A relationship-based access control approach for policy specification based on ODRL
Irene Plaza-Ortiz, Andres Munoz-Arcentales, Joaquín Salvachúa +3
Data has become a crucial resource in the digital economy, fostering initiatives for secure and sovereign data sharing frameworks such as Data Spaces. However, these distributed en…
Next Generation Authentication for Data Spaces: An Authentication Flow Based On Grant Negotiation And Authorization Protocol For Verifiable Presentations (GNAP4VP)
Rodrigo Menéndez, Andres Munoz-Arcentales, Joaquín Salvachúa +3
Identity verification in Data Spaces is a fundamental aspect of ensuring security and privacy in digital environments. This paper presents an identity verification protocol tailore…
Enhanced FIWARE-Based Architecture for Cyberphysical Systems With Tiny Machine Learning and Machine Learning Operations: A Case Study on Urban Mobility Systems
Javier Conde, Andrés Munoz-Arcentales, Álvaro Alonso +2
The rise of AI and the Internet of Things is accelerating the digital transformation of society. Mobility computing presents specific barriers due to its real-time requirements, de…
Empowering Database Learning Through Remote Educational Escape Rooms
Enrique Barra, Sonsoles López-Pernas, Aldo Gordillo +3
Learning about databases is indispensable for individuals studying software engineering or computer science or those involved in the IT industry. We analyzed a remote educational e…
Overcoming the Barriers of Using Linked Open Data in Smart City Applications
Javier Conde, Andres Munoz-Arcentales, Johnny Choque +2
We study the benefits and challenges of using Linked Open Data in smart city applications and propose a set of open source, highly scalable tools within the case of a public-rental…