| Vol-3401 urn:nbn:de:0074-3401-3 Copyright © 2023 for the individual papers by the papers' authors. Copyright © 2023 for the volume as a collection by its editors. This volume and its papers are published under the Creative Commons License Attribution 4.0 International (CC BY 4.0).

# D2R2 2023
Linked Data-driven Resilience Research 2023

### Proceedings of the Second International Workshop on Linked Data-driven Resilience Research 2023
co-located with Extended Semantic Web Conference 2023 (ESWC 2023)

### Hersonissos, Greece, May 28, 2023.

Edited by

### Sebastian Tramp * ******
Ricardo Usbeck ** ******
Natanael Arndt * ******
Julia Holze *** *******
Sören Auer **** *****

* eccenca GmbH, Hainstraße 8, 04109 Leipzig, Germany
** University of Hamburg, Mittelweg 177, 20148 Hamburg, Germany
*** Institute for Applied Informatics, Goerdelerring 9, 04109 Leipzig, Germany
**** Technische Informationsbibliothek (TIB), Welfengarten 1 B, 30167 Hannover, Germany
***** Gottfried Wilhelm Leibniz University Hannover
****** AKSW Research Group
******* DBpedia Association

## Table of Contents

- Preface
  Summary: There were 11 papers submitted for peer-review to this workshop. Out of these, 7 papers were accepted for this volume, 6 as regular papers and 1 as short paper.

### Submissions

- From Data to Insights: Constructing Spatiotemporal Knowledge Graphs for City Resilience Use Cases (short paper)
  Amin Anjomshoaa, Hannah Schuster, Johannes Wachs, Axel Polleres
- Dynamic Representations of Global Crises: Creation and Analysis of a Temporal Knowledge Graph for Conflicts, Trade and Value Networks
  Julia Gastinger, Nils Steinert, Sabine Gründer-Fahrer, Michael Martin
- A Knowledge Graph Perspective on Supply Chain Resilience
  Yushan Liu, Bailan He, Marcel Hildebrandt, Maximilian Buchner, Daniela Inzko, Roger Wernert, Emanuel Weigel, Dagmar Beyer, Martin Berbalk, Volker Tresp
- A News Recommendation System for Environmental Risk Management
  Hamed Aboutorab, Ran Yu, Alishiba Dsouza, Morteza Saberi, Omar Khadeer Hussain
- Wildfire Prediction Using Spatio-Temporal Knowledge Graphs
  Martin Böckling, Heiko Paulheim, Sarah Detzler
- Base Platform for Knowledge Graphs with Free Software
  Simon Bin, Claus Stadler, Norman Radtke, Kurt Junghanns, Sabine Gründer-Fahrer, Michael Martin
- Truth or Dare: Investigating Claims Truthfulness with ClaimsKG
  Susmita Gangopadhyay, Katarina Boland, Danilo Dessí, Stefan Dietze, Pavlos Fafalios, Andon Tchechmedjiev, Konstantin Todorov, Hajira Jabeen

2023-05-17: submitted by Natanael Arndt, metadata incl. bibliographic data published under Creative Commons CC0
2023-05-22: published on CEUR Workshop Proceedings (CEUR-WS.org, ISSN 1613-0073) |valid HTML5|