Big graph analysis by visually created workflows

Rostami, M. Ali; Peukert, Eric; Wilke, Moritz; Rahm, Erhard

Author:

Rostami, M. Ali [DBLP] ;

Peukert, Eric [DBLP] ;

Wilke, Moritz [DBLP] ;

Rahm, Erhard [DBLP]

Abstract

The analysis of large graphs has received considerable attention recently but current solutions are typically hard to use. In this demonstration paper, we report on an effort to improve the usability of the open-source system Gradoop for processing and analyzing large graphs. This is achieved by integrating Gradoop into the popular open-source software KNIME to visually create graph analysis workflows, without the need for coding. We outline the integration approach and discuss what will be demonstrated.

Citation
BibTeX

Rostami, M. A., Peukert, E., Wilke, M. & Rahm, E., (2019). Big graph analysis by visually created workflows. In: Grust, T., Naumann, F., Böhm, A., Lehner, W., Härder, T., Rahm, E., Heuer, A., Klettke, M. & Meyer, H. (Hrsg.), BTW 2019. Gesellschaft für Informatik, Bonn. (S. 559-563). DOI: 10.18420/btw2019-45

@inproceedings{mci/Rostami2019,
author = {Rostami, M. Ali AND Peukert, Eric AND Wilke, Moritz AND Rahm, Erhard},
title = {Big graph analysis by visually created workflows},
booktitle = {BTW 2019},
year = {2019},
editor = {Grust, Torsten AND Naumann, Felix AND Böhm, Alexander AND Lehner, Wolfgang AND Härder, Theo AND Rahm, Erhard AND Heuer, Andreas AND Klettke, Meike AND Meyer, Holger} ,
pages = { 559-563 } ,
doi = { 10.18420/btw2019-45 },
publisher = {Gesellschaft für Informatik, Bonn},
address = {}
}

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