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System Engineering Models meet Knowledge Graphs
Tables and graphs are knowingly used to organise data within a company with different levels of depth and complexity. Knowledge graphs (KGs) are particularly useful because they can cope with data diversity (high-quality complete data and sparse and incomplete data), they have a high degree of scalability and flexibility (the semantic data model can be inter-operational, large, wide and as deep as needed) and, last but not least, they provide reasoning and inference capabilities.
UK
20-D-S-TEC-04-a
UNIVERSITY OF STRATHCLYDE
MBSE Deployment for EnVision Science Mission Study
- Enforce the use of the physical engineering model that TAS-F already has by sub-system architects in order to have the model as a central source of truth
- Produce an interactive representation of the model allowing its consultation without having to install dedicated modelling tools
- Produce trend graphs on system budgets
- Produce document generation capability to export graphs and tables to the system and subsystem budget reports
France
20-P-M-SCI-02
Thales Alenia Space