Original: https://ceur-ws.org/Vol-3950/ | Mirror: https://ceur-ws.wikidata.dbis.rwth-aachen.de/Vol-3950/ | Year: 2024

Vol-3950
urn:nbn:de:0074-3950-X

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 https://creativecommons.org/licenses/by/4.0/.

RAGE-KG 2024

Proceedings of the International Workshop on Retrieval-Augmented Generation Enabled by Knowledge Graphs (RAGE-KG 2024)
co-located with ISWC 2024

Baltimore, USA, November 11-15, 2024.

Edited by

Daniil Dobriy
Francesco Osborne
Marta Sabou
Axel Polleres

Table of Contents

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

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