Aerospace Qualification Services Knowledge Graph: A Leap towards Enhanced Data Management

In the field of aerospace product qualification services, AddQual’s operation relies on the effective
coordination of data from diverse sources. This is presently achieved through a relational model, which
has displayed numerous limitations, including the lack of semantic enrichment, data heterogeneity,
and horizontal data evolution. To overcome these challenges, we meticulously designed, developed,
and implemented an Aerospace Qualification Services Knowledge Graph (AQS-KG), moving from the
existing relational model of AddQual. During this transition, we devised OwlFly, an in-house tool
specifically designed to facilitate the mapping between the two models. This solution adeptly manages
complex aerospace data, precisely aligning with AddQual’s strategic objectives, which include a plan to
increase from 1000 scanned parts with AQS-KG in 2022 to 20000 parts by 2026, a substantial reduction in
carbon emissions, and introducing automation in the repair procedures. This research paves the way for
forthcoming innovations, driving AddQual’s transition to adapt a digital twin framework.