DICE Research Group

Data Science Research Group with a focus on #knowledgegraphs @unipb. #linkeddata #machinelearning #webscience #openscience #NLG

[DICE Research Group @DiceResearch]

🌐 DICE was represented with 5 papers at the 23rd European Semantic Web Conference (ESWC 2026) in Dubrovnik, Croatia (May 10–14)!
Congratulations to all authors and thank you to the organizers for a wonderful conference! 🙌
#ESWC2026 #SemanticWeb #KnowledgeGraphs #DICEontour

[DICE Research Group @DiceResearch]

👉 "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 20–23, 2026).
👏 Congratulations to all authors!

(2/2)

[DICE Research Group @DiceResearch]

📢 Two paper acceptances at international conferences!
👉 "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 15–21, 2026). (1/2)

[DICE Research Group @DiceResearch]

🚀Our colleague Amgad Abdulmaqsod presented "PBFF-KG: A FAIR Knowledge Graph towards Sustainable Design of Plant-Based Fermented Foods" at FOODSIM'2026 in Ghent. 👏
➡️See full paper here: https://t.co/aYFDB2z2kA
#DICEontour #FOODSIM

[DICE Research Group @DiceResearch]

🎉 Paper accepted at NLDB 2026! Our paper “Noisy Optimization in Finetuning LMs for Neural Ranking” was accepted 👏Congrats to Daniel Vollmers, Arnab Sharma & @NgongaAxel!
📍 Trondheim, Norway | June 17–19, 2026
#NLDB2026 #NLP #LLM #Research

[DICE Research Group @DiceResearch]

🎉 𝗡𝗲𝘄 𝗣𝗮𝗽𝗲𝗿 𝗮𝗰𝗰𝗲𝗽𝘁𝗲𝗱!
“Rethinking Explanations: Formalizing Contrast in Description Logics” by @Yaa_Siir, Arnab Sharma, @NgongaAxel & Balram Tiwari has been accepted at #XAI2026 in Fortaleza, Brazil 🇧🇷.
🔗 https://t.co/uYJnisOdCP
Congrats to the authors! 👏

[DICE Research Group @DiceResearch]

🚀Kick-off of the 2nd funding phase of TRR 318 “Constructing Explainability”!
DICE contributes to two subprojects:
👉INF – building a data & information management infrastructure with RAG-based QA
👉C07 – interactive, dialogue-based explanations with LLMs.

[DICE Research Group @DiceResearch]

📈 DICE Embeddings: New KGE models, ensemble & weight-averaging strategies, improved evaluation workflows, tutorials, and bug fixes.
👉https://t.co/CsV202c9Yp
⚠️ Minimum Python version is now 3.11 for all three libraries.

(3/3)

[DICE Research Group @DiceResearch]

🚀 𝗡𝗲𝘄 𝗥𝗲𝗹𝗲𝗮𝘀𝗲𝘀: 𝗢𝗻𝘁𝗼𝗹𝗲𝗮𝗿𝗻, 𝗢𝗪𝗟𝗔𝗣𝗬 & 𝗗𝗜𝗖𝗘 𝗘𝗺𝗯𝗲𝗱𝗱𝗶𝗻𝗴𝘀
We’ve released new versions across our neuro-symbolic AI tools, bringing new features, performance improvements, and important updates.👇

(1/3)

[DICE Research Group @DiceResearch]

🧠 Ontolearn: Refactored concept & neural learners, improved triple store, and new SAT-based learners.👉https://t.co/mC5CbPR2Jm
🧩 OWLAPy: Introducing AGen-KG, a scalable agentic KG generation model from text with prompt-based customization.
👉 https://t.co/26pw4tAmMw

(2/3)

[DICE Research Group @DiceResearch]

Yesterday, we hosted the HNI Forum 2026 at the Heinz Nixdorf Institute.
👉Prof. Hector Geffner (RWTH Aachen) on "Representation learning to act and plan"
👉 Prof. Axel Ngonga on “Explainable neurosymbolic machine learning on knowledge graphs”
Thanks to all who joined! 🙌

[DICE Research Group @DiceResearch]

👉"Discrete Diffusion-Based Model-Level Explanation of Heterogeneous GNNs with Node Features" by P. Das & S. Heindorf.

👏 Congratulations to all authors!
(2/2)

[DICE Research Group @DiceResearch]

🚀 We’re excited to announce two paper acceptances @TheWebConf (#TheWebConf2026), taking place April 13–17 in Dubai
👉"A Simplex Approach to Synthetic Knowledge Graph Generation" by A. Silva, A. Bhopalsing Pundir, M. Röder & @NgongaAxel.

(1/2)

[DICE Research Group @DiceResearch]

🎙️ New podcast episode (in German): Kernel und Kernobst #073 “Does AI Always Have to Be Friendly?”
@NgongaAxel was a guest and discussed everyday questions about AI, taking a deeper, more academic look at how AI works.
👉https://t.co/LmMfDtDvmR
#AI #Podcast

[DICE Research Group @DiceResearch]

👉 "Can You Tell the Difference? Contrastive Explanations for ABox Entailments" by Patrick Koopmann, Yasir Mahmood, @NgongaAxel & Balram Tiwari

Wishing you a great time and many inspiring exchanges with the AI community! 🚀
#DICEontour #AI #Research #AAAI2026
(2/2)

[DICE Research Group @DiceResearch]

We’re excited that our colleague @Yaa_Siir is presenting two papers at the AAAI Conference in Singapore! 🇸🇬
👉 "Structure-Aware Encodings of Argumentation Properties for Clique-width" by Yasir Mahmood, Markus Hecher, Johanna Groven & Johannes K. Fichte
(1/2)

[DICE Research Group @DiceResearch]

✨𝗛𝗮𝗽𝗽𝘆 𝗛𝗼𝗹𝗶𝗱𝗮𝘆𝘀 𝗳𝗿𝗼𝗺 𝗗𝗜𝗖𝗘✨

As 2025 comes to an end, we’d like to thank everyone who contributed to a great year of research, collaboration, and exchange.
We wish you happy holidays and a wonderful start to 2026! 🎄🚀

[DICE Research Group @DiceResearch]

✨𝗗𝗜𝗖𝗘 𝗶𝗻 𝟮𝟬𝟮𝟱 – 𝗬𝗲𝗮𝗿 𝗶𝗻 𝗥𝗲𝘃𝗶𝗲𝘄 (𝗣𝗮𝗿𝘁 𝟮)
🚀 New project Learn2RAG launched
🎉 Public engagement at 100 years Heinz Nixdorf
🌍 Research presented at IJCAI, ECML PKDD, ISWC, K-CAP
📈 100K+ downloads for DICE Embeddings, Ontolearn & OWLAPY

On to 2026!🚀

[DICE Research Group @DiceResearch]

✨𝗗𝗜𝗖𝗘 𝗶𝗻 𝗥𝗲𝘃𝗶𝗲𝘄 𝟮𝟬𝟮𝟱 (𝗣𝗮𝗿𝘁 𝟭)
🌍 Research presented worldwide (eg COLING & ESWC)
🤝 Prof. Tibebe Beshah Tesema as SAIL Fellow
👥 Growing team & new members
🚀 EU project ENEXA successfully completed
🎓 PhD defence by @kouagou_dah
Stay tuned for Part 2!

[DICE Research Group @DiceResearch]

5. "NL2LS: LLM-based Automatic Linking of Knowledge Graphs" by Reda Ihtassine, @affia007, Nikit Srivastava, @engr_manzoor, @NgongaAxel & @MAhmedSherif.

🔗https://t.co/yf87tLelFK

With this, we wrap up K-CAP 2025 and our final conference of the year.🙌

(5/5)

[DICE Research Group @DiceResearch]

We’re proud to have been part of K-CAP 2025 in Dayton, Ohio, presenting five papers from DICE! 🚀
1) “Parameter Averaging in Link Prediction” by Rupesh Sapkota, @_CaglarDemir, Arnab Sharma & @NgongaAxel.

🔗https://t.co/aIoX5SGqHB

(1/5)

#DICEontour #DICEreadme #KCAP2025

[DICE Research Group @DiceResearch]

4. “Explainable Benchmarking through the Lens of Concept Learning” by Quannian Zhang, Michael Röder, Nikit Srivastava, N'Dah Jean Kouagou & @NgongaAxel.

🔗https://t.co/uXj4YlZPuP

(4/5)