RAGE-KG 2024
Retrieval-Augmented Generation Enabled by Knowledge Graphs 2024

Table of Contents

• Preface
  Summary: There were 14 papers submitted for peer-review to the workshop. Out of these, 8 papers were accepted for this volume.

• Closed-Source vs Open-Source RAGs: lessons learned from the SemTab challenge (short paper) 1-9
  Margherita Martorana , Xueli Pan , Benno Kruit , Tobias Kuhn , Jacco van Ossenbruggen
• Leveraging Large Language Models to Identify Event-Driven Changes in Wikidata Entities (short paper) 10-15
  Gregor Vandák , Amin Anjomshoaa
• Multilingual Word Sense Disambiguation for Semantic Annotations: Fusing Knowledge Graphs, Lexical Resources, and Large Language Models (short paper) 16-22
  Robert David , Anna Kernerman , Ilan Kernerman , Nicolas Ferranti , Assaf Siani
• Retrieval-Augmented Generation for Query Target Type Identification (short paper) 23-30
  Darío Garigliotti
• Knowledge Graph-Enhanced Retrieval Augmented Generation for E-Commerce (short paper) 31-39
  Zihao Xu , Zhejun Shen , Qunzhi Zhou , Petar Ristoski
• On the Relevant Set of Contexts for Evaluating Retrieval-Augmented Generation Systems (short paper) 40-45
  Darío Garigliotti
• Towards Improving a Student Advisory Service Chatbot Using Knowledge Graphs (short paper) 46-50
  Daniel Delev , Emmie Schiffer , Felix Vogl , Andreea Iana , Heiko Paulheim
• CyKG-RAG: Towards knowledge-graph enhanced retrieval augmented generation for cybersecurity (regular paper) 51-64
  Kabul Kurniawan , Elmar Kiesling , Andreas Ekelhart