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Distributed and Self-organizing Systems
Base Platform for Knowledge Graphs with Free Software
Base Platform for Knowledge Graphs with Free Software | Distributed and Self-organizing Systems
 

PUBLICATION

Base Platform for Knowledge Graphs with Free Software

Type

Conference Paper

Year

2023

Authors

Research Area

Web Engineering

Event

Second International Workshop on Linked Data-driven Resilience Research (D2R2’23) co-located with ESWC 2023

Published in

Proceedings of the Second International Workshop on Linked Data-driven Resilience Research 2023 co-located with Extended Semantic Web Conference 2023 (ESWC 2023)

Download

PDF

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.

Reference

Bin, Simon; Stadler, Claus; Radtke, Norman; Junghanns, Kurt; Gründer-Fahrer, Sabine; Martin, Michael: Base Platform for Knowledge Graphs with Free Software. Proceedings of the Second International Workshop on Linked Data-driven Resilience Research 2023 co-located with Extended Semantic Web Conference 2023 (ESWC 2023), pp. 13, 2023.

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