LIPIcs.GD.2024.58.pdf
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Graph Harvester (Software Abstract)
Authors
Tim Hegemann 
,
Sebastian Kempf ,
Alexander Wolff
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Volume:
32nd International Symposium on Graph Drawing and Network Visualization (GD 2024)
Series: Leibniz International Proceedings in Informatics (LIPIcs)
Conference: Graph Drawing and Network Visualization (GD) - License:
Creative Commons Attribution 4.0 International license
- Publication Date: 2024-10-28
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Julius Deynet, Tim Hegemann, Sebastian Kempf, and Alexander Wolff. Graph Harvester (Software Abstract). In 32nd International Symposium on Graph Drawing and Network Visualization (GD 2024). Leibniz International Proceedings in Informatics (LIPIcs), Volume 320, pp. 58:1-58:3, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2024)
https://doi.org/10.4230/LIPIcs.GD.2024.58
https://doi.org/10.4230/LIPIcs.GD.2024.58
Abstract
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.
Subject Classification
ACM Subject Classification
- Applied computing → Graphics recognition and interpretation
- Mathematics of computing → Graph theory
- Information systems → Web applications
Keywords
- House of Graphs
- Graph recognition
- Information extraction
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References
- Christopher Auer, Christian Bachmaier, Franz Brandenburg, Andreas Gleißner, and Josef Reislhuber. Optical graph recognition. J. Graph Algorithms Appl., 17(4):541-565, 2013. URL: https://doi.org/10.7155/jgaa.00303.
- Michael A. Bekos, Walter Didimo, Giuseppe Liotta, Saeed Mehrabi, and Fabrizio Montecchiani. On RAC drawings of 1-planar graphs. Theoret. Comput. Sci., 689:48-57, 2017. URL: https://doi.org/10.1016/j.tcs.2017.05.039.
- Gunnar Brinkmann, Kris Coolsaet, Gauvain Devillez, Jan Goedgebeur, and Hadrien Mélot. House of Graphs. Website, accessed on Sep. 6, 2024. URL: https://houseofgraphs.org.
- Kris Coolsaet, Sven D'hondt, and Jan Goedgebeur. House of Graphs 2.0: A database of interesting graphs and more. Discret. Appl. Math., 325:97-107, 2023. URL: https://doi.org/10.1016/J.DAM.2022.10.013.
- Julius Deynet, Tim Hegemann, Sebastian Kempf, and Alexander Wolff. Graph Harvester. Software, swhId: https://archive.softwareheritage.org/swh:1:dir:f390ce9e8201cb8d2c97848e8fb5170173dcb82b;origin=https://github.com/JuliusDeynet/graph_harvester;visit=swh:1:snp:bdfe5f02f631232b0713ec89a61137901514f2fc;anchor=swh:1:rev:42f62e576eecab2ab51e79d22bba90bc7aff0496 (visited on 2024-10-14). URL: https://github.com/JuliusDeynet/graph_harvester.
- Julius Deynet, Tim Hegemann, Sebastian Kempf, and Alexander Wolff. Graph Harvester. Website, accessed on Sep. 6, 2024. URL: https://go.uniwue.de/graph-harvester.
- Sebastian Kempf, Markus Krug, and Frank Puppe. KIETA: Key-insight extraction from scientific tables. Appl. Intell., 53:9512-9530, 2023. URL: https://doi.org/10.1007/s10489-022-03957-8.