Towards a Semantic Toolbox for Reproducible Knowledge Graph Generation in the Biodiversity Domain - How to Make the Most out of Biodiversity Data
| dc.contributor.author | Babalou, Samira | |
| dc.contributor.author | Schellenberger Costa, David | |
| dc.contributor.author | Kattge, Jens | |
| dc.contributor.author | Römermann, Christine | |
| dc.contributor.author | König-Ries, Birgitta | |
| dc.date.accessioned | 2021-12-14T10:57:28Z | |
| dc.date.available | 2021-12-14T10:57:28Z | |
| dc.date.issued | 2021 | |
| dc.description.abstract | Knowledge Graphs are widely regarded as one of the most promising ways to manage and link information in the age of Big Data. Their broad uptake is still hindered by the large effort required to create and maintain them, though. In this paper, we propose the creation of a semantic toolbox that will support data owners in transforming their databases into reproducible, dynamically extendable knowledge graphs that can be integrated and jointly used. We showcase the need, potential benefits and first steps towards the solution in our example domain, biodiversity research. | en |
| dc.identifier.doi | 10.18420/informatik2021-044 | |
| dc.identifier.isbn | 978-3-88579-708-1 | |
| dc.identifier.pissn | 1617-5468 | |
| dc.identifier.uri | https://dl.gi.de/handle/20.500.12116/37709 | |
| dc.language.iso | en | |
| dc.publisher | Gesellschaft für Informatik, Bonn | |
| dc.relation.ispartof | INFORMATIK 2021 | |
| dc.relation.ispartofseries | Lecture Notes in Informatics (LNI) - Proceedings, Volume P-314 | |
| dc.subject | Knowledge Graph | |
| dc.subject | Dynamic | |
| dc.subject | Reproducible | |
| dc.subject | Biodiversity | |
| dc.title | Towards a Semantic Toolbox for Reproducible Knowledge Graph Generation in the Biodiversity Domain - How to Make the Most out of Biodiversity Data | en |
| gi.citation.endPage | 590 | |
| gi.citation.startPage | 581 | |
| gi.conference.date | 27. September - 1. Oktober 2021 | |
| gi.conference.location | Berlin | |
| gi.conference.sessiontitle | Workshop: Computer Science for Biodiversity (CS4BIODiversity) |
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