Second International Workshop on Scaling Knowledge Graphs for Industry (SKGi) - LLMs meet KGs: Preface

Diego Rincon-Yanez; Wilma Johanna Schmidt; Evgeny Kharlamov; Michael Cochez; Adrian Paschke; Declan O’Sullivan

Second International Workshop on Scaling Knowledge Graphs for Industry (SKGi) - LLMs meet KGs: Preface

Diego Rincon-Yanez
, Wilma Johanna Schmidt
, Evgeny Kharlamov
, Michael Cochez
, Adrian Paschke
, Declan O’Sullivan

Publikation: Beitrag in Buch/Konferenzband › Beitrag in Konferenzband

Abstract

This version explores the intersection of Knowledge Graphs (KGs) and Large Language Models (LLMs) with a focus on enabling scalable, efficient, and trustworthy AI applications in industrial contexts. As generative AI rapidly evolves, integrating symbolic and neural methods becomes essential to address challenges such as explainability, data alignment, and system robustness by gathering academic researchers and industry practitioners to discuss practical solutions and future of Semantic Web technologies in the era of foundation models.

Originalsprache	Englisch
Titel des Sammelwerks	SGKi 2025: Scaling Knowledge Graphs for Industry Workshop
Untertitel des Sammelwerks	co-located with SEMANTiCS’25: International Conference on Semantic Systems, September 3–5, 2025, Vienna, Austria
Herausgeber*innen	David Chaves-Fraga, Ivan Heibi, Daniel Garijo, Diego Collarana, Angelo Salatino, Sahar Vahdati
Verlag	CEUR Workshop Proceedings
Band	4064
Publikationsstatus	Veröffentlicht - 2025
Extern publiziert	Ja
Veranstaltung	Joint of Posters, Demos, Workshops, and Tutorials of the 21st International Conference on Semantic Systems, SEMANTiCS-PDWT 2025 - Vienna, Österreich Dauer: 3 Sept. 2025 → 5 Sept. 2025

Publikationsreihe

Reihe	CEUR Workshop Proceedings
ISSN	1613-0073

Konferenz

Konferenz	Joint of Posters, Demos, Workshops, and Tutorials of the 21st International Conference on Semantic Systems, SEMANTiCS-PDWT 2025
Land/Gebiet	Österreich
Ort	Vienna
Zeitraum	3/09/25 → 5/09/25

Bibliographische Notiz

Publisher Copyright:
© 2025 Copyright for this paper by its authors.

Zugriff auf Dokument

https://ceur-ws.org/Vol-4064/Lizenz: CC BY

Andere Dateien und Links

Verknüpfung zur Publikation in Scopus

Zitat

Rincon-Yanez, D., Schmidt, W. J., Kharlamov, E., Cochez, M., Paschke, A., & O’Sullivan, D. (2025). Second International Workshop on Scaling Knowledge Graphs for Industry (SKGi) - LLMs meet KGs: Preface. in D. Chaves-Fraga, I. Heibi, D. Garijo, D. Collarana, A. Salatino, & S. Vahdati (Hrsg.), SGKi 2025: Scaling Knowledge Graphs for Industry Workshop: co-located with SEMANTiCS’25: International Conference on Semantic Systems, September 3–5, 2025, Vienna, Austria (Band 4064). CEUR Workshop Proceedings. https://ceur-ws.org/Vol-4064/

Rincon-Yanez, Diego ; Schmidt, Wilma Johanna ; Kharlamov, Evgeny et al. / Second International Workshop on Scaling Knowledge Graphs for Industry (SKGi) - LLMs meet KGs : Preface. SGKi 2025: Scaling Knowledge Graphs for Industry Workshop: co-located with SEMANTiCS’25: International Conference on Semantic Systems, September 3–5, 2025, Vienna, Austria. Hrsg. / David Chaves-Fraga ; Ivan Heibi ; Daniel Garijo ; Diego Collarana ; Angelo Salatino ; Sahar Vahdati. Band 4064 CEUR Workshop Proceedings, 2025. (CEUR Workshop Proceedings).

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title = "Second International Workshop on Scaling Knowledge Graphs for Industry (SKGi) - LLMs meet KGs: Preface",

abstract = "This version explores the intersection of Knowledge Graphs (KGs) and Large Language Models (LLMs) with a focus on enabling scalable, efficient, and trustworthy AI applications in industrial contexts. As generative AI rapidly evolves, integrating symbolic and neural methods becomes essential to address challenges such as explainability, data alignment, and system robustness by gathering academic researchers and industry practitioners to discuss practical solutions and future of Semantic Web technologies in the era of foundation models.",

keywords = "AI for Industry, Graph Retrieval Augmented Generation, Knowledge Graphs, Large Language Models, Scalable AI",

author = "Diego Rincon-Yanez and Schmidt, \{Wilma Johanna\} and Evgeny Kharlamov and Michael Cochez and Adrian Paschke and Declan O{\textquoteright}Sullivan",

note = "Publisher Copyright: {\textcopyright} 2025 Copyright for this paper by its authors.; Joint of Posters, Demos, Workshops, and Tutorials of the 21st International Conference on Semantic Systems, SEMANTiCS-PDWT 2025 ; Conference date: 03-09-2025 Through 05-09-2025",

year = "2025",

language = "English",

volume = "4064",

series = "CEUR Workshop Proceedings",

publisher = "CEUR Workshop Proceedings",

editor = "David Chaves-Fraga and Ivan Heibi and Daniel Garijo and Diego Collarana and Angelo Salatino and Sahar Vahdati",

booktitle = "SGKi 2025: Scaling Knowledge Graphs for Industry Workshop",

}

Rincon-Yanez, D, Schmidt, WJ, Kharlamov, E, Cochez, M, Paschke, A & O’Sullivan, D 2025, Second International Workshop on Scaling Knowledge Graphs for Industry (SKGi) - LLMs meet KGs: Preface. in D Chaves-Fraga, I Heibi, D Garijo, D Collarana, A Salatino & S Vahdati (Hrsg.), SGKi 2025: Scaling Knowledge Graphs for Industry Workshop: co-located with SEMANTiCS’25: International Conference on Semantic Systems, September 3–5, 2025, Vienna, Austria. Bd. 4064, CEUR Workshop Proceedings, CEUR Workshop Proceedings, Joint of Posters, Demos, Workshops, and Tutorials of the 21st International Conference on Semantic Systems, SEMANTiCS-PDWT 2025, Vienna, Österreich, 3/09/25. <https://ceur-ws.org/Vol-4064/>

Second International Workshop on Scaling Knowledge Graphs for Industry (SKGi) - LLMs meet KGs: Preface. / Rincon-Yanez, Diego; Schmidt, Wilma Johanna; Kharlamov, Evgeny et al.
SGKi 2025: Scaling Knowledge Graphs for Industry Workshop: co-located with SEMANTiCS’25: International Conference on Semantic Systems, September 3–5, 2025, Vienna, Austria. Hrsg. / David Chaves-Fraga; Ivan Heibi; Daniel Garijo; Diego Collarana; Angelo Salatino; Sahar Vahdati. Band 4064 CEUR Workshop Proceedings, 2025. (CEUR Workshop Proceedings).

Publikation: Beitrag in Buch/Konferenzband › Beitrag in Konferenzband

TY - GEN

T1 - Second International Workshop on Scaling Knowledge Graphs for Industry (SKGi) - LLMs meet KGs

T2 - Joint of Posters, Demos, Workshops, and Tutorials of the 21st International Conference on Semantic Systems, SEMANTiCS-PDWT 2025

AU - Rincon-Yanez, Diego

AU - Schmidt, Wilma Johanna

AU - Kharlamov, Evgeny

AU - Cochez, Michael

AU - Paschke, Adrian

AU - O’Sullivan, Declan

PY - 2025

Y1 - 2025

N2 - This version explores the intersection of Knowledge Graphs (KGs) and Large Language Models (LLMs) with a focus on enabling scalable, efficient, and trustworthy AI applications in industrial contexts. As generative AI rapidly evolves, integrating symbolic and neural methods becomes essential to address challenges such as explainability, data alignment, and system robustness by gathering academic researchers and industry practitioners to discuss practical solutions and future of Semantic Web technologies in the era of foundation models.

AB - This version explores the intersection of Knowledge Graphs (KGs) and Large Language Models (LLMs) with a focus on enabling scalable, efficient, and trustworthy AI applications in industrial contexts. As generative AI rapidly evolves, integrating symbolic and neural methods becomes essential to address challenges such as explainability, data alignment, and system robustness by gathering academic researchers and industry practitioners to discuss practical solutions and future of Semantic Web technologies in the era of foundation models.

KW - AI for Industry

KW - Graph Retrieval Augmented Generation

KW - Knowledge Graphs

KW - Large Language Models

KW - Scalable AI

UR - https://www.scopus.com/pages/publications/105019647848

M3 - Contribution to conference proceedings

AN - SCOPUS:105019647848

VL - 4064

T3 - CEUR Workshop Proceedings

BT - SGKi 2025: Scaling Knowledge Graphs for Industry Workshop

A2 - Chaves-Fraga, David

A2 - Heibi, Ivan

A2 - Garijo, Daniel

A2 - Collarana, Diego

A2 - Salatino, Angelo

A2 - Vahdati, Sahar

PB - CEUR Workshop Proceedings

Y2 - 3 September 2025 through 5 September 2025

ER -

Rincon-Yanez D, Schmidt WJ, Kharlamov E, Cochez M, Paschke A, O’Sullivan D. Second International Workshop on Scaling Knowledge Graphs for Industry (SKGi) - LLMs meet KGs: Preface. in Chaves-Fraga D, Heibi I, Garijo D, Collarana D, Salatino A, Vahdati S, Hrsg., SGKi 2025: Scaling Knowledge Graphs for Industry Workshop: co-located with SEMANTiCS’25: International Conference on Semantic Systems, September 3–5, 2025, Vienna, Austria. Band 4064. CEUR Workshop Proceedings. 2025. (CEUR Workshop Proceedings).