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

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