Vol-3706⫷ Vol-3707 ⫸Vol-3708
urn:nbn:de:0074-3707-4

Copyright © 2024 for the individual papers by the papers' authors. Copyright © 2024 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 2024
Linked Data-driven Resilience Research 2024

Proceedings of the Third International Workshop on Linked Data-driven Resilience Research (D2R2’24) co-located with European Semantic Web Conference 2024 (ESWC 2024)

Hersonissos, Greece, May 27, 2024 .

Edited by

Julia Holze * *****
Sebastian Tramp * ****
Michael Martin *
Sören Auer *
Ricardo Usbeck **
Nenad Krdzavac

* eccenca GmbH , Hainstraße 8, 04109 Leipzig, Germany
** Leuphana University Lüneburg , 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
******** Chemnitz University of Technology , Germany

Table of Contents

Preface
Summary: There were 9 papers submitted for peer-review to this workshop. Out of these, 7 papers were accepted for this volume.

Session I

Empowering Supply Chains Resilience: LLMs-Powered BN for Proactive Supply Chain Risk Identification
Maryam Shahsavari , Omar Khadeer Hussain , Morteza Saberi , Pankaj Sharma
Anticipate Risk with the Value and Trade Flows Knowledge Graph
Felix Engel , Mark Vanin , Nenad Krdzavac
Entity Alignment for Knowledge Graphs in the Context of Supply Chain Risk Management
Rebeka Gadzo , Yushan Liu

Session II

Leveraging Small Language Models for Text2SPARQL Tasks to Improve the Resilience of AI Assistance
Felix Brei , Johannes Frey , Lars-Peter Meyer
Towards a Regional Public Dashboard for Crisis and Resilience Management
Fatih Kılıç , Till Grabo , Julia Lücke , Norman Radtke , Christian Danne , Sabine Gründer-Fahrer , Michael Martin
An Automated Evaluation Framework for Graph Database Query Generation Leveraging Large Language Models
Bailan He , Yushan Liu , Marcel Hildebrandt , Zifeng Ding , Yaomengxi Han , Volker Tresp
Towards Modeling the Structure of Product Dependencies in Supply Networks to Identify Bottlenecks Among Suppliers
Daniel Henselmann , Andreas Harth

2024-06-06: submitted by Nenad Krdzavac, metadata incl. bibliographic data published under Creative Commons CC0
2024-06-12 : published on CEUR Workshop Proceedings (CEUR-WS.org, ISSN 1613-0073) | valid HTML5 |