DICE

@diceresearch
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130 Posts
Research group at Paderborn University focused on knowledge graphs.
Homepagehttp://dice-research.org
Age42
๐ŸŒ DICE was represented with 5 papers at the 23rd European Semantic Web Conference (ESWC 2026) in Dubrovnik, Croatia (May 10โ€“14)!
Congratulations to all authors and thank you to the organizers for a wonderful conference! ๐Ÿ™Œ
#ESWC2026 #SemanticWeb #KnowledgeGraphs #DICEontour
๐Ÿ“ข Two paper acceptances at international conferences!
๐Ÿ‘‰ "Diversity of Extensions in Abstract Argumentation" by Johannes Fichte, Markus Hecher, Yasir Mahmood, and Zhengjun Wang has been accepted at IJCAI-ECAI 2026 (Bremen, August 15โ€“21, 2026).
๐Ÿ‘‰ "ABox Abduction for Inconsistent Knowledge Bases under Repair Semantics" by Anselm Haak, Patrick Koopmann, Yasir Mahmood, and Anni-Yasmin Turhan has been accepted at KR 2026 (Lisbon, July 20โ€“23, 2026).
๐Ÿ‘ Congratulations to all authors!
๐Ÿš€Our colleague Amgad Abdulmaqsod presented "PBFF-KG: A FAIR Knowledge Graph towards Sustainable Design of Plant-Based Fermented Foods" at FOODSIM'2026 in Ghent. ๐Ÿ‘
โžก๏ธSee full paper here: https://papers.dice-research.org/2026/FoodSIM_PBFF-KG/public.pdf
#DICEontour #FOODSIM

๐ŸŽ‰ Paper accepted at NLDB 2026!

Our paper โ€œNoisy Optimization in Finetuning LMs for Neural Rankingโ€ was accepted ๐Ÿ‘ Congrats to Daniel Vollmers, Arnab Sharma & Axel Ngonga!

๐Ÿ“ Trondheim, Norway | June 17โ€“19, 2026

#NLDB2026 #NLP #LLM #Research

๐ŸŽ‰ ๐—ก๐—ฒ๐˜„ ๐—ฃ๐—ฎ๐—ฝ๐—ฒ๐—ฟ ๐—ฎ๐—ฐ๐—ฐ๐—ฒ๐—ฝ๐˜๐—ฒ๐—ฑ!
โ€œRethinking Explanations: Formalizing Contrast in Description Logicsโ€ by Yasir Mahmood, Arnab Sharma, Axel Ngonga & Balram Tiwari has been accepted at #XAI2026 in Fortaleza, Brazil.
๐Ÿ”— https://xaiworldconference.com/2026/
Congrats to all authors! ๐Ÿ‘

๐Ÿš€ Kick-off of the 2nd funding phase of TRR 318 โ€œConstructing Explainabilityโ€!

The Collaborative Research Centre between Paderborn University and Bielefeld University explores how AI explanations can be co-constructed with users.

Our group contributes to two projects:
๐Ÿ‘‰ INF โ€“ building a data & information management infrastructure with RAG-based QA
๐Ÿ‘‰ C07 โ€“ interactive, dialogue-based explanations with LLMs

Thanks to the organizing team for a great kick-off!

๐Ÿ”— https://trr318.uni-paderborn.de/

๐Ÿš€ ๐—ก๐—ฒ๐˜„ ๐—ฅ๐—ฒ๐—น๐—ฒ๐—ฎ๐˜€๐—ฒ๐˜€: ๐—ข๐—ป๐˜๐—ผ๐—น๐—ฒ๐—ฎ๐—ฟ๐—ป, ๐—ข๐—ช๐—Ÿ๐—”๐—ฃ๐—ฌ & ๐——๐—œ๐—–๐—˜ ๐—˜๐—บ๐—ฏ๐—ฒ๐—ฑ๐—ฑ๐—ถ๐—ป๐—ด๐˜€

Ontolearn: Refactored concept & neural learners, improved triple store, and new SAT-based learners.๐Ÿ‘‰https://github.com/dice-group/Ontolearn

OWLAPy: Introducing AGen-KG, a scalable agentic KG generation model from text with prompt-based customization.
๐Ÿ‘‰ https://github.com/dice-group/owlapy

DICE Embeddings: New KGE models, ensemble & weight-averaging strategies, improved evaluation workflows, tutorials, and bug fixes.
๐Ÿ‘‰https://github.com/dice-group/dice-embeddings?tab=readme-ov-file

Yesterday, we hosted the HNI Forum 2026 at the Heinz Nixdorf Institute, bringing together researchers to discuss Neurosymbolic Artificial Intelligence.

๐ŸŽคProf. Hector Geffner (RWTH Aachen University) spoke on "Representation learning to act and planโ€
๐ŸŽคProf. Axel-Cyrille Ngonga Ngomo presented โ€œExplainable neurosymbolic machine learning on knowledge graphsโ€

Great discussions and interdisciplinary exchangeโ€”thanks to everyone who joined! ๐Ÿ™Œ
#NeurosymbolicAI #ExplainableAI #AIResearch #HNI

๐Ÿš€ Weโ€™re excited to announce two paper acceptances The Web Conference (#TheWebConf2026), taking place April 13โ€“17 in Dubai.

๐Ÿ‘‰"A Simplex Approach to Synthetic Knowledge Graph Generation" by Ana Silva, Atul Bhopalsing Pundir, Michael Rรถder & Axel Ngonga.

๐Ÿ‘‰"Discrete Diffusion-Based Model-Level Explanation of Heterogeneous GNNs with Node Features" by Pallabee Das & Stefan Heindorf.

๐Ÿ‘ Congratulations to all authors!

๐ŸŽ™๏ธ New podcast episode (in German): Kernel und Kernobst #073 โ€œDoes AI Always Have to Be Friendly?โ€
@NgongaAxel was a guest and discussed everyday questions about AI, taking a deeper, more academic look at how AI works.
๐Ÿ‘‰https://trommelspeicher.de/podcast/muss-eine-ki-immer-freundlich-sein
#AI #Podcast