The Common European Agricultural Data Space (CEADS) aims to enable trusted, interoperable data sharing across the agri-food sector through a federated ecosystem of platforms and services. However, achieving meaningful interoperability requires not only governance and technical alignment but also shared, machine-interpretable semantics that support discovery, integration, and reuse of heterogeneous data assets. This paper presents three preliminary complementary semantic services implemented within the AgrospAI Data Sharing Initiative, built on the Pontus-X compute-to-data infrastructure.