[Obo-discuss] [CfP] DBpedia Day 2025 || SEMANTiCS conference || Sept 3

[DBpedia <pr...@in...>]

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DBpedia Day - Co-located with SEMANTiCS 2025
Vienna, Austria
September 3, 2025
Submission Deadline: July 15, 2025 (11:59 pm, Hawaii time)
Submission Form: https://forms.gle/6KNBMuRsyXs8RiD89
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How can Large Language Models (LLMs) benefit from structured knowledge 
like DBpedia? And how can we improve DBpedia to better serve the next 
generation of AI systems?

This session invites talks on the intersection of LLMs and Knowledge 
Graphs, with a special emphasis on DBpedia. Our goal is to understand 
how to make Linked Data more useful, accessible, and trustworthy for 
LLM-based applications—and how to evolve DBpedia in this new 
AI-dominated landscape.

= Topics of Interest =
* Retrieval-Augmented Generation (RAG) with DBpedia
* Prompt engineering for KG-aware LLMs
* Query translation: From natural language to SPARQL using LLMs
* Using LLMs to summarize or explain DBpedia data
* LLMs as interfaces for Linked Data consumption
* Automatic ontology alignment and entity linking with LLMs
* Improving LLM factual accuracy with DBpedia as a trusted source
* Challenges in grounding LLM output in structured knowledge
* Scaling and performance considerations for hybrid KG–LLM systems
* Bias, hallucination, and verification in LLMs using DBpedia
* Use cases: e.g., chatbots, semantic search, Q&A systems powered by 
DBpedia + LLMs

We welcome researchers, developers, and industry practitioners working 
on concrete tools, early-stage ideas, or critical perspectives.

= Submission Guidelines =
Please submit your proposal by July 15, 2025 (AoE) via: 
https://forms.gle/6KNBMuRsyXs8RiD89
Your proposal should include:
* Title
* Abstract (max. 300 words)
* Short biography of the speaker(s)

We are open to a wide range of talk formats: demos, position papers, 
success stories, lessons learned, or short idea pitches.

Questions? Reach out to us at db...@in... or check our event page 
https://www.dbpedia.org/blog/dbpedia-day-2025/.

Join us to shape how LLMs and DBpedia can empower each other!

Best regards,

Julia, Milan & Sebastian
DBpedia Team