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-indus...@easychair.org<mailto:iswc2025-indus...@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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Sitz der Gesellschaft: Eggenstein-Leopoldshafen, Amtsgericht Mannheim HRB
101892.
Geschäftsführer: Prof. Dr. Wolfram Horstmann.
Vorsitzende des Aufsichtsrats: MinR’in Marion Steinberger.
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