Proof-of-concept KG system (AISA Deliverable D4.1)

The AISA Project-level Concept of Operations set out in Chapter 5 of Deliverable 2.1 has at its center the ATC Knowledge Graph (KG). In this deliverable (D 4.1) we describe an architecture for the data and metadata in such a KG and for the software components for incrementally processing and querying the data and metadata in the KG. The Proof-of-Concept KG System exemplifies this architecture and has the purpose of guiding further developments in WP 4 and WP 5. The proposed architecture of a KG system facilitates SPARQL Queries Capturing Monitoring Tasks based on traffic/airspace data converted to RDF. It further accomodates the integration with other components such as the Reasoning Engine in Prolog developed in Task 4.2 and Machine Learning Modules developed in WP3. The main goal is to develop and assess the concept of the artificial SA based on a KG from a functional perspective rather than to consider requirements of a real-time life system. In this deliverable we also describe the UML-to-RDFS/SHACL mapper which facilitates the transformation from information exchange models such as AIXM and FIXM modeled in UML to KG schemas in RDFS and SHACL.

This deliverable is part of a project that has received funding from the SESAR Joint Undertaking under grant agreement No 892618 under European Union’s Horizon 2020 research and innovation programme.