Daniel Mietchen

Robust Argumentation Machines. RATIO 2024. Lecture Notes in Computer Science, vol 14638 / Editors: Cimiano, P., Frank, A., Kohlhase, M., Stein, B., 2024. - pp. 3-19

http://dx.doi.org/10.1007/978-3-031-63536-6_1

Mai 2024

Tina Heger ; Jonathan M. Jeschke ; Maud Bernard-Verdier ; Camille L. Musseau ; Daniel Mietchen

Hypothesis Description: Enemy Release Hypothesis

Research ideas and outcomes. - 10(2024), Art. e107393

http://dx.doi.org/10.3897/rio.10.e107393

Mai 2024

Tina Heger, Daniel Mietchen, Jonathan M. Jeschke

Template for a Hypothesis Description paper

Research ideas and outcomes. - 10(2024), Art. e119808

http://dx.doi.org/10.3897/rio.10.e119808

Mai 2024

Daniel Mietchen ; Jonathan M. Jeschke ; Tina Heger

Introducing Hypothesis Descriptions

Research ideas and outcomes. - 10(2024), Art. e119805

http://dx.doi.org/10.3897/rio.10.e119805

März 2024

Houcemeddine Turki; Mohamed Ali Hadj Taieb; Mohamed Ben Aouicha; Lane Rasberry; Daniel Mietchen

Ten years of Wikidata: A bibliometric study

CEUR Workshop Proceedings. - 3640(2024), Paper 13

2023

Dezember 2023

Daniel Mietchen

Designing a Metascience Institute

Research ideas and outcomes. - 9(2023), Art. e108804

http://dx.doi.org/10.3897/rio.9.e108804

Oktober 2023

Thomas Shafee; Daniel Mietchen; Tiago Lubiana; Dariusz Jemielniak; Andra Waagmeester

Ten quick tips for editing Wikidata

PLoS Computational Biology. - 17(2023)7, e1011235

http://dx.doi.org/10.1371/journal.pcbi.1011235

September 2023

Sophie Lokatis; Jonathan M. Jeschke; Maud Bernard-Verdier; Sascha Buchholz; Hans-Peter Grossart; Frank Havemann; Franz Hölker; Yuval Itescu; Ingo Kowarik; Stephanie Kramer-Schadt; Daniel Mietchen; Camille L. Musseau; Aimara Planillo; Conrad Schittko; Tanja M. Straka; Tina Heger

Hypotheses in urban ecology: building acommon knowledge base

Biological Reviews. - 98(2023)5, 1530-1547

http://dx.doi.org/10.1111/brv.12964

2022

November 2022

Donat Agosti ... Daniel Mietchen ...

Recommendations for use of annotations and persistent identifiers in taxonomy and biodiversity publishing

Research ideas and outcomes. - 8(2022), Art. e97374

http://dx.doi.org/10.3897/rio.8.e97374

November 2022

Daniel Mietchen ...

A formalization of one of the main claims of “Creative Commons licenses and the non-commercial condition: Implications for the re-use of biodiversity information” by Hagedorn et al. 2011

Data science. - 5(2022), 39-42

http://dx.doi.org/10.3233/DS-210044

November 2022

Houcemeddine Turki ... Daniel Mietchen

Using logical constraints to validate statistical information about disease outbreaks in collaborative knowledge graphs: the case of COVID-19 epidemiology in Wikidata

PeerJ computer science. - (2022), 2-36

http://dx.doi.org/10.7717/peerj-cs.1085

November 2022

Shweata N. Hegde ... Daniel Mietchen

Unpacking IPCC and IPBES Reports

Biodiversity Information Science and Standards. - 6(2022), Art. e94347

http://dx.doi.org/10.3897/biss.6.94347

November 2022

Daniel Mietchen; Steph Tyszka; Tina Heger; Maud Bernard-Verdier; Camille Musseau; Jonathan Jeschke

Visualizing biodiversity information using Wikidata and Scholia

Biodiversity Information Science and Standards. - 6(2022), Art. e94184

http://dx.doi.org/10.3897/biss.6.94184

September 2022

Adriano Rutz; Maria Sorokina; Jakub Galgonek; Daniel Mietchen; Egon Willighagen; Arnaud Gaudry; James G. Graham; Ralf Stephan; Roderic Page; Jiří Vondrášek; Christoph Steinbeck; Guido F. Pauli; Jean-Luc Wolfender; Jonathan Bisson; Pierre-Marie Allard

The LOTUS initiative for open knowledge management in natural products research

eLife. - 11(2022), Art. e70780

http://dx.doi.org/10.7554/eLife.70780.sa2

März 2022

Markus Stocker; Tina Heger; Artur M. Schweidtmann; Hanna Ćwiek-Kupczyńska; Lyubomir Penev; Milan Dojchinovski; Egon Willighagen; Maria-Esther Vidal; Houcemeddine A. Turki; Daniel Balliet; Ilaria Tiddi; Tobias Kuhn; Daniel Mietchen; Oliver Karras; Lars Vogt; Sebastian Hellmann; Jonathan M. Jeschke; Paweł Krajewski; Sören Auer

SKG4EOSC - Scholarly Knowledge Graphs for EOSC: establishing a backbone of knowledge graphs for FAIR Scholarly Information in EOSC

Research ideas and outcomes. - 8(2022), Art. e83789

http://dx.doi.org/10.3897/rio.8.e83789