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