Essential Issues to Consider for a Manufacturing Data Query System Based on Graph
| Autor: | Philippe Veron, Lise Kim, Victor Fau, Frédéric Segonds, Esma Yahia |
|---|---|
| Přispěvatelé: | Laboratoire d’Ingénierie des Systèmes Physiques et Numériques (LISPEN), Arts et Métiers Sciences et Technologies, HESAM Université (HESAM)-HESAM Université (HESAM), Laboratoire Conception de Produits et Innovation (LCPI), Chaire Capgemini-ENSAM sur le PLM du futur |
| Rok vydání: | 2021 |
| Předmět: |
Base de données [Informatique]
[INFO.INFO-DB]Computer Science [cs]/Databases [cs.DB] Information retrieval Graph database Computer science business.industry Graph Database Query System Manufacturing Data 02 engineering and technology Informatique computer.software_genre Manufacturing data [INFO.INFO-IR]Computer Science [cs]/Information Retrieval [cs.IR] 020204 information systems Manufacturing Information Retrieval 0202 electrical engineering electronic engineering information engineering Recherche d'information [Informatique] Graph (abstract data type) [INFO]Computer Science [cs] 020201 artificial intelligence & image processing business computer |
| Zdroj: | Lecture Notes in Mechanical Engineering ISBN: 9783030705657 Lecture Notes in Mechanical Engineering International Joint Conference on Mechanics, Design Engineering and Advanced Manufacturing (JCM 2020) International Joint Conference on Mechanics, Design Engineering and Advanced Manufacturing (JCM 2020), Jun 2020, Aix-en-Provence, France. pp.xx-xx |
| DOI: | 10.1007/978-3-030-70566-4_55 |
| Popis: | Actes en cours de publication 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. Chaire Capgemini-ENSAM sur le PLM du futur |
| Databáze: | OpenAIRE |
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