From engineering models to knowledge graph : delivering new insights into models
Berquand, Audrey and Riccardi, Annalisa (2020) From engineering models to knowledge graph : delivering new insights into models. In: 9th International Systems & Concurrent Engineering for Space Applications Conference (SECESA 2020), 2020-09-30 - 2020-10-02, Digital.
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Abstract
Essential information on the early stages of a mission design is contained in Engineering Models. Yet, these models are often uneasy to visualise, query, let alone compare. This study demonstrates how Knowledge Graphs can overcome these data silos, interconnect information, provide a big-picture perspective, and infer new knowledge that would have remained hidden otherwise. Following the migration of CubeSats Engineering Models to a Knowledge Graph, two case studies are explored. The first case study illustrates how graph inference can derive implicit knowledge from existing explicit concepts. In the second case study, a Natural Language Processing layer is adjoined to the Knowledge Graph to enhances the analysis of textual content. The Natural Language Processing layer relies on the document embedding method doc2ve
ORCID iDs
Berquand, Audrey and Riccardi, Annalisa ORCID: https://orcid.org/0000-0001-5305-9450;-
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Item type: Conference or Workshop Item(Paper) ID code: 74265 Dates: DateEvent30 September 2020Published31 July 2020AcceptedSubjects: Technology > Motor vehicles. Aeronautics. Astronautics Department: Faculty of Engineering > Mechanical and Aerospace Engineering Depositing user: Pure Administrator Date deposited: 15 Oct 2020 12:01 Last modified: 16 Nov 2024 01:40 URI: https://strathprints.strath.ac.uk/id/eprint/74265