Semantification of Space Data - A Feasibility Study
Felix Engel, Nenad B. Krdzavac, Erhun Giray Tuncay, Axel Klinger, John Hughes · 2023
This paper presents a new approach to the semantic representation of NASA planetary mission data. The Open Archival Information Systems (OAIS) Information Model (IM) is used as a model to represent this data in a Knowledge Graph (KG). To prepare the data for this requirement, a machine learning approach is used to extract information (entities) and connect to Wikidata. A demo shows the advantages of using federated SPARQL queries over the created KG and Wikidata.