A Graph-based Approach to Manage CAE Data in a Data Lake
| Autor: | Julian Ziegler, Florian Keller, Peter Reimann, Bernhard Mitschang |
|---|---|
| Rok vydání: | 2020 |
| Předmět: |
Structure (mathematical logic)
0209 industrial biotechnology Theoretical computer science Computer science business.industry Data management Graph based 02 engineering and technology 010501 environmental sciences 01 natural sciences Task (project management) Domain (software engineering) 020901 industrial engineering & automation Metadata management General Earth and Planetary Sciences Graph (abstract data type) business 0105 earth and related environmental sciences General Environmental Science |
| Zdroj: | Procedia CIRP. 93:496-501 |
| ISSN: | 2212-8271 |
| DOI: | 10.1016/j.procir.2020.04.155 |
| Popis: | Computer-aided engineering (CAE) applications generate vast quantities of heterogeneous data. Domain experts often fail to explore and analyze these data, because they are not integrated across different applications. Existing data management solutions are rather tailored to scientific applications. In our approach, we tackle this issue by combining a data lake solution with graph-based metadata management. This provides a holistic view of all CAE data and of the data-generating applications in one interconnected structure. Based on a prototypical implementation, we discuss how this eases the task of domain experts to explore and extract data for further analyses. |
| Databáze: | OpenAIRE |
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