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dc.contributor.authorBabalou, Samira
dc.contributor.authorSchellenberger Costa, David
dc.contributor.authorKattge, Jens
dc.contributor.authorRömermann, Christine
dc.contributor.authorKönig-Ries, Birgitta
dc.contributor.editor
dc.date.accessioned2021-12-14T10:57:28Z
dc.date.available2021-12-14T10:57:28Z
dc.date.issued2021
dc.identifier.isbn978-3-88579-708-1
dc.identifier.issn1617-5468
dc.identifier.urihttp://dl.gi.de/handle/20.500.12116/37709
dc.description.abstractKnowledge 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.language.isoen
dc.publisherGesellschaft für Informatik, Bonn
dc.relation.ispartofINFORMATIK 2021
dc.relation.ispartofseriesLecture Notes in Informatics (LNI) - Proceedings, Volume P-314
dc.subjectKnowledge Graph
dc.subjectDynamic
dc.subjectReproducible
dc.subjectBiodiversity
dc.titleTowards a Semantic Toolbox for Reproducible Knowledge Graph Generation in the Biodiversity Domain - How to Make the Most out of Biodiversity Dataen
mci.reference.pages581-590
mci.conference.sessiontitleWorkshop: Computer Science for Biodiversity (CS4BIODiversity)
mci.conference.locationBerlin
mci.conference.date27. September - 1. Oktober 2021
dc.identifier.doi10.18420/informatik2021-044


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