| Vol-3780 urn:nbn:de:0074-3780-7 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).

# Sci-K 2024
Scientific Knowledge: Representation, Discovery, and Assessment 2024

### Proceedings of the 4th International Workshop on Scientific Knowledge: Representation, Discovery, and Assessment
co-located with 23rd International Semantic Web Conference (ISWC 2024)

### Baltimore, Maryland, USA, November 12, 2024.

Edited by

### Angelo Salatino *
Andrea Mannocci **
Francesco Osborne *
Sonja Schimmler ***
Georg Rehm ****

* Knowledge Media Institute, The Open University, Milton Keynes, United KingdomK
** Italian Research Council (CNR), Pisa, Italy
*** TU Berlin, Fraunhofer FOKUS, Berlin, Germany
**** DFKI, Berlin, Germany

## Table of Contents

- Preface
  Summary: There were 13 papers submitted for peer-review to this workshop. Out of these, 9 papers were accepted for this volume, 7 as regular papers and 2 as short papers.

### Representation

- Enhancing Scientific Knowledge Graph Generation Pipelines with LLMs and Human-in-the-Loop Stefani Tsaneva, Danilo Dessì, Francesco Osborne, Marta Sabou
- Knowledge Graph Enabled Scientific Data Repositories Paulo Pinheiro, Henrique Santos, James Masters, Matthew Johnson, Jeanette A. Stingone, Sofia Bengoa, Marcello Bax, Deborah L. McGuinness
- Identifying Semantic Relationships Between Research Topics Using Large Language Models in a Zero-Shot Learning Setting Tanay Aggarwal, Angelo Salatino, Francesco Osborne, Enrico Motta

### Discoverabilty

- Enhancing Scientific Discovery and Decision-Making: A Knowledge Graph-based Research Support System Liubov Kovriguina, Linn Aung, Peter Haase, Nicolas Heist, David Lamprecht, Simon Heiß
- DiTraRe: AI on a Spider’s Web. Interweaving Disciplines for Digitalisation Anna Jacyszyn, Harald Sack, Ditrare-Study Group, Matthias Razum, Felix Bach
- Federated Querying of Scholarly Communication Infrastructures Muhammad Haris, Sören Auer, Markus Stocker

### Assessment

- Assessing the Reliability and Scientific Rigor of References in Wikidata Hannah Schuster, Amin Anjomshoaa, Axel Polleres
- Ensuring FAIRness in Machine Learning Projects Sefika Efeoglu, Zongxiong Chen, Sonja Schimmler
- Skills and Expertise in Large Organizations: An Enterprise Knowledge Graph Approach Blerina Spahiu, Anna Lisa Gentile, Chad De Luca, Andrea Maurino

2024-10-08: submitted by Angelo Salatino, metadata incl. bibliographic data published under Creative Commons CC0
2024-10-08: published on CEUR Workshop Proceedings (CEUR-WS.org, ISSN 1613-0073) |valid HTML5|