%0 Conference Paper %1 INPROC-2020-18 %A Ziegler, Julian %A Reimann, Peter %A Keller, Florian %A Mitschang, Bernhard %B Procedia CIRP: Proceedings of the 53rd CIRP Conference on Manufacturing Systems (CIRP CMS 2020) %D 2020 %I Elsevier %K myown %P 496 - 501 %R 10.1016/j.procir.2020.04.155 %T A Graph-based Approach to Manage CAE Data in a Data Lake %U http://www.sciencedirect.com/science/article/pii/S2212827120310349 %V 93 %X 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.

@inproceedings{INPROC-2020-18, abstract = {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.}, added-at = {2020-07-23T16:28:27.000+0200}, author = {Ziegler, Julian and Reimann, Peter and Keller, Florian and Mitschang, Bernhard}, biburl = {https://puma.ub.uni-stuttgart.de/bibtex/2aaf257bc0c038aabb15eaddec8662f6c/julianziegler}, booktitle = {Procedia CIRP: Proceedings of the 53rd CIRP Conference on Manufacturing Systems (CIRP CMS 2020)}, cr-category = {H.2.8 Database Applications}, department = {University of Stuttgart, Institute of Parallel and Distributed Systems, Applications of Parallel and Distributed Systems}, doi = {10.1016/j.procir.2020.04.155}, institution = {University of Stuttgart, Faculty of Computer Science, Electrical Engineering, and Information Technology, Germany}, interhash = {6b9311f6e60acde17bf3cede4aea548e}, intrahash = {aaf257bc0c038aabb15eaddec8662f6c}, issn = {2212-8271}, keywords = {myown}, language = {English}, month = {September}, pages = {496 - 501}, publisher = {Elsevier}, timestamp = {2021-06-25T15:22:16.000+0200}, title = {A Graph-based Approach to Manage CAE Data in a Data Lake}, type = {Conference Paper}, url = {http://www.sciencedirect.com/science/article/pii/S2212827120310349}, volume = 93, year = 2020 }