Topics:
The workshop covers the use of generative AI for knowledge engineering and AI assistants, as well as related agentic systems, with a focus on industrial applications, use cases, and data. Submissions regarding the following topics, but not limited to, are especially welcomed.
AI assistants for ontology modeling & matching, involving:
User intent analysis based on unimodal or multi-modal inputs
Different interaction paradigms (single-shot, chat-based, or, wizard)
Ontology and taxonomy generation
Ontology matching
LLM-based ontology reasoning and reasoner-in-the-loop approaches.
AI assistants for knowledge graph construction, curation, and validation:
AI assistants for KG generation and population from unstructured, semi-, and structured data sources
AI assistants for constructing KGs from modalities beyond text
AI assistants for generating and processing SHACL constraints
AI assistants for generating and processing SPARQL queries with focus on transformations.
Evaluation, benchmarks and governance of AI assistants:
Emerging standards (e.g., MCP or A2A) in the realm of AI assistants and their relation to the Semantic Web stack
Shared tasks and benchmark and data sets for modeling assistants, including ideas on joint publications of ontologies and data sets across companies
Benchmarks and datasets for AI model based understanding of ontologies/KGs
Novel benchmarking methodologies such as human based evaluation, LLM as a judge, dynamic benchmarks
Evaluation metrics/approaches for the evaluation of usefulness of ontologies/KGs generated via AI models
Methods for logging actions of AI assistants, as well as audit and rollback in knowledge engineering tasks
Patterns for keeping human-in-the-loop on high impact changes, including approval and governance workflows.
Adoption of AI-based knowledge engineering
Industry and in-use use cases for AI assistants that support knowledge engineering tasks
Scalability and resource-efficiency of AI-based knowledge engineering
Open challenges in real-world application scenarios
We welcome contributions on the above topics that cover the RDF/OWL technology stack, labeled property graphs, or a combination of both and invite the submission from the following categories:
Full papers (max. 12 pages)
Short papers (max. 6 pages)
Page limits apply excluding the references.
Lightning talks: Submitting a talk for position, vision, and challenge statement is highly encouraged. These talks will be 5min, required a one-pager (submitted via Easychair) to describe the topic. The topic can/will be picked up for a plannend panel discussion.
Submission Instructions:
Submissions have to be submitted electronically using EasyChair via the link: https://easychair.org/conferences/?conf=aiaa4ke2026
The accepted contributions will be published in the joint workshop proceedings through CEUR-WS. This requires the submission to be as PDF, in English, and formatted in the CEURART (https://ceur-ws.org/Vol-XXX/) style by CEUR-WS. There is an Overleaf template available at: https://www.overleaf.com/latex/templates/template-for-submissions-to-ceur-workshop-proceedings-ceur-ws-dot-org/wqyfdgftmcfw
Important Dates:
• Submission: July 24th, 2026 (11:59 pm, AoE)
• Notifications: August 21th, 2026 (11:59 pm, AoE)
• Camera Ready: September 21th, 2026 (11:59 pm, AoE)
• Event: October 25th/26th, 2026