Essential issues to consider for a manufacturing data query system based on graph
In: Lecture Notes in Mechanical Engineering ; International Joint Conference on Mechanics, Design Engineering and Advanced Manufacturing (JCM 2020) ; https://hal.science/hal-02973931 ; International Joint Conference on Mechanics, 2020
Online
Konferenz
Zugriff:
International audience ; Manufacturing industry data are distributed, heterogeneous and numerous, resulting in different challenges including the fast, exhaustive and relevant querying of data. In order to provide an innovative answer to this challenge, the authors consider an information retrieval system based on a graph database. In this paper, the authors focus on determining the essential functions to consider in this context. The authors define a three-step methodology using root causes analysis and resolution. This methodology is then applied to a data set and queries representative of an industrial use case. As a result, the authors list four major issues to consider and discuss their potential resolutions.
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Essential issues to consider for a manufacturing data query system based on graph
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Autor/in / Beteiligte Person: | Kim, Lise ; Yahia, Esma ; Segonds, Frédéric ; Veron, Philippe ; Fau, Victor ; Laboratoire d’Ingénierie des Systèmes Physiques et Numériques (LISPEN) ; Arts et Métiers Sciences et Technologies ; HESAM Université - Communauté d'universités et d'établissements Hautes écoles Sorbonne Arts et métiers université (HESAM)-HESAM Université - Communauté d'universités et d'établissements Hautes écoles Sorbonne Arts et métiers université (HESAM) ; Laboratoire Conception de Produits et Innovation (LCPI) ; Chaire Capgemini-ENSAM sur le PLM du futur |
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Zeitschrift: | Lecture Notes in Mechanical Engineering ; International Joint Conference on Mechanics, Design Engineering and Advanced Manufacturing (JCM 2020) ; https://hal.science/hal-02973931 ; International Joint Conference on Mechanics, 2020 |
Veröffentlichung: | HAL CCSD ; Springer, 2020 |
Medientyp: | Konferenz |
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