We present an Open Source base platform for the CoyPu knowledge graph project in the resilience domain. We report on our experiences with several tools which are used to create, maintain, serve, view and explore a modular large-scale knowledge graph, as well as the adaptions that were necessary to enable frictionless interaction from both performance and usability perspectives. For this purpose, several adjustments had to be made. We provide a broad view of different programs which are of relevance to this domain. We demonstrate that while it is already possible to achieve good results with free software, there are still several pain points that need to be addressed. Resolution of these issues is often not only a matter of configuration but requires modification of the source code as well.
%0 Conference Paper
%1 bin-2023--base-platform
%A Bin, Simon
%A Stadler, Claus
%A Radtke, Norman
%A Junghanns, Kurt
%A Gründer-Fahrer, Sabine
%A Martin, Michael
%B Proceedings of the International Workshop on Linked Data-driven Resilience Research 2023
%C Hersonissos, Greece
%D 2023
%E Tramp, Sebastian
%E Usbeck, Ricardo
%E Arndt, Natanael
%E Holze, Julia
%E Auer, Sören
%K es group_aksw junghanns martin mole radtke sbin stadler
%T Base Platform for Knowledge Graphs with Free Software
%U https://ceur-ws.org/Vol-3401/paper6.pdf
%V 3401
%X We present an Open Source base platform for the CoyPu knowledge graph project in the resilience domain. We report on our experiences with several tools which are used to create, maintain, serve, view and explore a modular large-scale knowledge graph, as well as the adaptions that were necessary to enable frictionless interaction from both performance and usability perspectives. For this purpose, several adjustments had to be made. We provide a broad view of different programs which are of relevance to this domain. We demonstrate that while it is already possible to achieve good results with free software, there are still several pain points that need to be addressed. Resolution of these issues is often not only a matter of configuration but requires modification of the source code as well.
@inproceedings{bin-2023--base-platform,
abstract = {We present an Open Source base platform for the CoyPu knowledge graph project in the resilience domain. We report on our experiences with several tools which are used to create, maintain, serve, view and explore a modular large-scale knowledge graph, as well as the adaptions that were necessary to enable frictionless interaction from both performance and usability perspectives. For this purpose, several adjustments had to be made. We provide a broad view of different programs which are of relevance to this domain. We demonstrate that while it is already possible to achieve good results with free software, there are still several pain points that need to be addressed. Resolution of these issues is often not only a matter of configuration but requires modification of the source code as well.},
added-at = {2024-06-18T09:46:33.000+0200},
address = {Hersonissos, Greece},
author = {Bin, Simon and Stadler, Claus and Radtke, Norman and Junghanns, Kurt and Gründer-Fahrer, Sabine and Martin, Michael},
biburl = {https://www.bibsonomy.org/bibtex/2f034c876fe3a96fc2dcbada592ef6655/aksw},
booktitle = {Proceedings of the International Workshop on Linked Data-driven Resilience Research 2023},
editor = {Tramp, Sebastian and Usbeck, Ricardo and Arndt, Natanael and Holze, Julia and Auer, Sören},
interhash = {a24b6bfd06c1869589e01e00f0d0363c},
intrahash = {f034c876fe3a96fc2dcbada592ef6655},
keywords = {es group_aksw junghanns martin mole radtke sbin stadler},
month = may,
series = {{CEUR} Workshop Proceedings},
timestamp = {2024-06-18T09:46:33.000+0200},
title = {Base Platform for Knowledge Graphs with Free Software},
url = {https://ceur-ws.org/Vol-3401/paper6.pdf},
volume = 3401,
year = 2023
}