[DL] [CFP] GenAIK-NORA Joint Workshop @ IJCAI-ECAI 2026

[Btissam Er-Rahmadi]

 Hi All,

We are pleased to announce GenAIK-NORA: The Joint Workshop on Generative AI
and Knowledge Graphs and KNOwledge GRaphs & Agentic Systems Interplay,
which will be co-located with IJCAI-ECAI 2026 in Bremen, Germany.

More details below.







*Joint Call for
Papers---------------------------------------------------------------------------------Joint
Workshop on Generative AI and Knowledge Graphs (GenAIK) and KNOwledge
GRaphs & Agentic Systems Interplay (NORA),15-17 August 2026,  Bremen,
GermanyWeb: https://genetasefa.github.io/GenAIK2026/
<https://genetasefa.github.io/GenAIK2026/> and
https://nora-workshop.github.io/IJCAIECAI2026/
<https://nora-workshop.github.io/IJCAIECAI2026/>X: @GenAIK26 LinkedIn:
https://www.linkedin.com/groups/9868047
<https://www.linkedin.com/groups/9868047> and
https://www.linkedin.com/company/nora-knowledge-graphs-agentic-systems-interplay
<https://www.linkedin.com/company/nora-knowledge-graphs-agentic-systems-interplay>Mastodon:
https://sigmoid.social/@GenAIK
<https://sigmoid.social/@GenAIK>
---------------------------------------------------------------------------------In
conjunction with IJCAI-ECAI 2026, August
15-19---------------------------------------------------------------------------------Workshop
Overview---------------------------------------------------------------------------------Recent
advances in Generative Artificial Intelligence (GenAI) and Large Language
Models (LLMs) have transformed the AI landscape, enabling systems to
generate multimodal content and perform increasingly complex reasoning and
decision-making tasks. Despite these advances, generative models still face
important challenges, including hallucinations, limited interpretability,
and difficulties in grounding outputs in reliable domain
knowledge.Knowledge Graphs (KGs) provide a principled framework for
representing structured and interconnected knowledge through entities,
relations, and formal ontologies. They enable interpretability, reasoning,
and the integration of domain expertise, making them an important component
for building reliable and trustworthy AI systems. At the same time,
LLM-based agents are emerging as a powerful paradigm for building
autonomous systems capable of planning, tool use, and long-term task
execution, often requiring structured representations of knowledge and
memory.The interaction between generative models, agentic systems, and
knowledge graphs is therefore becoming an important research direction in
contemporary AI. This workshop aims to bring together researchers and
practitioners from AI, NLP, Knowledge Graphs, Semantic Web, and Hybrid AI
to explore methods, systems, and applications that combine these
paradigms.This edition represents a joint workshop, bringing together the
communities of GenAIK (Generative AI and Knowledge Graphs) and NORA
(Knowledge Graphs and Agentic Systems Interplay) to foster collaboration
across these complementary research
areas.---------------------------------------------------------------------------------Topics
of
Interest----------------------------------------------------------------------------------
KG construction, completion, and refinement with GenAI and Agents—
Text-to-KG extraction using LLMs (multilingual, multimodal)— KG completion,
cleaning, and refinement (deduplication, entity resolution)— Fact
verification, contradiction detection, and consistency checking—
Human-in-the-loop KG curation and interactive refinement- KG grounding for
information retrieval, including generation, querying, and dialogue—
KG-grounded generation / GraphRAG (subgraph retrieval, path-based
evidence)— Natural language querying of KGs via GenAI (e.g.,
NL-to-SPARQL) — Hybrid QA and dialogue systems combining KGs and GenAI
(e.g., Agents) — Prompting / controllable generation using KG structure and
constraints— Context and memory indexing and retrieval for GenAI and
agents- Neuro-symbolic methods, reasoning, and explainability— Hybrid
reasoning with rules, constraints, and structured evidence — Explainability
and verifiable reasoning with provenance/evidence graphs — Cross-domain
knowledge transfer with KGs and GenAIK- Representations, embeddings, and
temporal/evolving KGs— GenAI for KG embeddings and hybrid vectorgraph
representations — Temporal KGs, dynamic updates, continual learning,
concept drift — Ontology learning, schema induction, alignment, and schema
evolution- Trustworthiness, safety, and governance— Bias mitigation using
KGs in GenAI and Agentic Systems— Hallucination reduction via
grounding/constraints; robustness to attacks — Uncertainty estimation and
calibrated confidence — Privacy, access control, and policy-aware
KG-grounded generation- Agentic KGs and real-world systems — Agentic KGs:
KGs as long-term memory/state for LLM agents— KGs serving agents' memories:
Episodic (experiences, events, etc.), Semantic (facts, concepts, etc.), and
— Procedural (skills, tasks, etc.)— KG-aware planning, tool use
(query/update), and multi-agent coordination— Collaborative & shared agent
memories and contexts.— Context Engineering enhanced by KGs- GenAI/Agents
and KG Applications— Efficient and proactive personal assistance &
Personalisation— Multi-Lingual & Multi-modal integrations and enablement—
Personalisation vs Generalisation in GenAI and Agentic systems memory—
Domain-specific applications: scholarly knowledge, biomedicine &
healthcare, finance, education, etc.— Task-specific applications: personal
assistance, dialogue systems, recommender systems, customer service, etc.—
Architectures and pipelines - Datasets, benchmarks, and evaluation—
Benchmark datasets for GenAI or Agents plus KG tasks— Evaluation of
grounding/faithfulness, factuality, reasoning, robustness— Evaluation
pitfalls: data leakage, LLM-as-a-judge bias, reproducibility, and reporting
standards------------------------------------------------------------------------------------Important
Dates
(AoE)-------------------------------------------------------------------------------------
Submission Deadline: 7 May 2026- Notification of Acceptance: 10 June 2026-
Camera-ready Paper Due: 25 June 2026- Workshop date (In-Person): 15, 16, or
17 August
2026------------------------------------------------------------------------------------Submissions
Guidelines, Policies, and Awards are available on the
website.---------------------------------------------------------------------------------------------------------------------------------------------------------------------Organization---------------------------------------------------------------------------------GenAIK
Team:- Genet Asefa Gesese, FIZ Karlsruhe, KIT, Germany- Angelo Salatino,
The Open University, UK.- Blerina Spahiu,  University of Milano-Bicocca,
Italy- Shenghui Wang, University of Twente, The Netherlands - Heiko
Paulheim, University of Mannheim, GermanyNORA Team:- Btissam Er-Rahmadi,
Independent Researcher, UK- Sebastien Montella, Huawei Technologies R&D UK
Ltd, UK- Damien Graux, EcoVadis, UK- Andre Melo,  Huawei Technologies R&D
UK Ltd, UK- Hajira Jabeen, University Hospital Cologne, Germany*
-- 
Btissam Er-Rahmadi
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