2708, 2025

Semantic-Driven Interoperability, Embedded AI, and Hardware/Software Integration in SMARTY 

Service Mediation via Semantic Web Mappings  The SMARTY Project addresses interoperability challenges through declarative semantic-web based service mediation, resolving both syntactic and semantic mismatches across systems. Traditional any-to-any mappings require pairwise translations between systems, leading to scalability issues. Instead, SMARTY adopts an any-to-one approach, where a central RDF-based reference model serves as a semantic pivot.  This approach ensures seamless integration across partners’ systems, critical for use cases like secure edge

Read More

2208, 2025

Semantic Management for Interoperable AI and Embedded Systems

The SMARTY Project addresses the challenge of interoperability across heterogeneous systems by leveraging semantic web technologies and structured metadata ontologies. This approach ensures seamless integration of hardware, software, datasets, and AI models in secure communication environments.  Interoperability Framework  Interoperability is achieved through a common metadata model that unambiguously describes digital assets—from hardware components to AI models. This model enables:  A central asset catalog (developed in WP5) acts as a command

Read More

1707, 2025

Why Do Knowledge Graphs Need AI? 

As part of the SMARTY Project, we are exploring how AI enhances knowledge graph capabilities—not just for data storage, but for intelligent reasoning, search, and interaction.  To support this, SMARTY integrates Metaphactory, an advanced platform developed by metaphacts, designed to enable AI-driven knowledge management at scale.  Why Metaphactory?  What’s Next in SMARTY?  Our team is focused on:  We invite you to follow our progress and explore how AI and semantics

Read More