Call for Industry Papers at ISWC 2025

Have you employed knowledge graphs, semantic technologies, and Large Language Models (LLMs) to adopt semantics in innovative industrial applications?


The Industry Track at ISWC 2025 welcomes extended abstracts about the application of knowledge graphs and semantic technologies in various industrial sectors, aiming to showcase the state of their adoption and the latest trends. It provides an opportunity for industry adopters to highlight and share the key learnings and new research challenges posed by real-world implementations.


Topics of interest include, but are not limited to, the following:



  *   Case studies detailing the successful application of knowledge graphs and semantic technologies to address relevant problems in specific industrial domains.
  *   Analysis of how semantic technologies can generate business value.
  *   Assessments of the applicability of academic research outcomes to real-world industrial scenarios, focusing on issues such as data relevance and scalability.
  *   Integration of knowledge graphs and semantic technologies with other technologies, including
     *   Large Language Models (LLMs): use cases and best practices for leveraging semantic structures and knowledge graphs to enhance LLM performance, as well as employing LLMs to enrich or refine semantic data.
     *   Information retrieval, machine learning, natural language processing, human-AI interaction, distributed computing, and stream processing.
  *   Identification of new problems, use cases, and application areas that may catalyze further research in this field.
  *   Discussion reports that identify barriers hindering the widespread adoption of knowledge graphs and semantic technologies, along with proposed strategies to address these challenges.
  *   LLM-centric approaches that address challenges such as data integration, entity linking, disambiguation, or domain adaptation, highlighting how semantic models help overcome these challenges at an industrial scale.


Important Dates:

Submission due                      July 1, 2025

Notifications                            July 29, 2025

Camera ready papers due      Seb 11, 2025


Industry Track Chairs

Oktie Hassanzadeh, IBM Research, US

Irene Celino, Cefriel, Italy


Contact email: iswc2025-industry@easychair.org<mailto:iswc2025-industry@easychair.org>

More at: https://iswc2025.semanticweb.org/#/calls/industry




Dr.-Ing. Genet Asefa Gesese
Head of Machine Learning Department
Information Service Engineering
Phone. +49 7247 808 186
Fax. +49 7247 808 78186
FIZ Karlsruhe – Leibniz Institute for Information Infrastructure
Hermann-von-Helmholtz-Platz 1
76344 Eggenstein-Leopoldshafen
www.fiz-karlsruhe.de

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