2026-07-22T18:35:40Z https://drops.dagstuhl.de/oai

oai:drops-oai.dagstuhl.de:21342 2024-11-27T23:18:07Z ddc:004 open_access

Graph Harvester (Software Abstract) Deynet, Julius Hegemann, Tim Kempf, Sebastian Wolff, Alexander House of Graphs Graph recognition Information extraction We present Graph Harvester, a website for extracting graphs from illustrations in scientific papers. For every graph that has been extracted, Graph Harvester queries the graph database House of Graphs. If the graph is not already present there, the user can upload the graph into the database, possibly after modifying it, and with a reference to the paper that contains the drawing of the graph. Schloss Dagstuhl – Leibniz-Zentrum für Informatik Julius Deynet and Tim Hegemann and Sebastian Kempf and Alexander Wolff 2024 Is Part Of LIPIcs, Volume 320, 32nd International Symposium on Graph Drawing and Network Visualization (GD 2024) InProceedings Text doc-type:ResearchArticle publishedVersion application/pdf doi:10.4230/LIPIcs.GD.2024.58 urn:nbn:de:0030-drops-213427 https://drops.dagstuhl.de/entities/document/10.4230/LIPIcs.GD.2024.58 eng https://creativecommons.org/licenses/by/4.0/legalcode