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.
%0 Conference Paper
%1 Rostami2019-tn
%A Rostami, M Ali
%A Peukert, Eric
%A Wilke, Moritz
%A Rahm, Erhard
%D 2019
%I Gesellschaft für Informatik, Bonn
%K
%T 4.-8. März 2019
%X 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.
@inproceedings{Rostami2019-tn,
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.},
added-at = {2024-09-10T12:10:36.000+0200},
author = {Rostami, M Ali and Peukert, Eric and Wilke, Moritz and Rahm, Erhard},
biburl = {https://puma.scadsai.uni-leipzig.de/bibtex/21212bdfd08aeffa56db80acafa6b317c/scadsfct},
interhash = {2ea0693d5344465ef7c021c3755b87be},
intrahash = {1212bdfd08aeffa56db80acafa6b317c},
keywords = {},
publisher = {Gesellschaft f{\"u}r Informatik, Bonn},
timestamp = {2024-09-10T15:15:57.000+0200},
title = {4.-8. M{\"a}rz 2019},
year = 2019
}