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 July 31st, 2026 (11:59 pm, AoE)
• Notifications: August 21th August 31st, 2026 (11:59 pm, AoE)
• Camera Ready: September 21th October 4th, 2026 (11:59 pm, AoE)
• Event: October 26th, 2026 from 9:00 am - 12:50 pm
Camery-ready Submission:
General Paper Preparations
Please ensure that the final version incorporates the reviewers’ comments and, where appropriate, clearly addresses the requested revisions. Carefully proofread the camera-ready paper, as this version will be used in the published proceedings.
Ensure that all figures, tables, references, and supplementary material are correctly included and cited.
Check that all bibliographic references are complete and correctly formatted.
Please check that the PDF displays correctly, that all fonts are embedded, and that it contains no comments, tracked changes, annotations, or other editorial marks.
Please ensure that the author information is complete and that each author’s ORCID iD is included in the camera-ready version.
An appendix of up to 2 pages is allowed.
Camera-Ready Submission
Please upload a ZIP file electronically using EasyChair using the new field "Camera Ready"; name the file AIAA4KE_[ID].zip, where [ID] is the paper number assigned by the EasyChair platform. The internal structure of the ZIP file must be:
AIAA4KE_[ID].zip
├── AIAA4KE -paper[ID].pdf
└── source/
├── [all LaTeX/Word source files]
├── [bibliography files, if applicable]
└── [figures and other source files]
AIAA4KE-paper[ID].pdf: the camera-ready PDF of your paper.
source/: a folder containing all source files required to compile the paper, including the LaTeX/Word source, bibliography files, figures, and any other necessary files.
Paper Format
The camera-ready papers must adopt the CEURART 1-column style (https://www.overleaf.com/latex/templates/template-for-submissions-to-ceur-workshop-proceedings-ceur-ws-dot-org/wqyfdgftmcfw). Please ensure that:
No page numbers are included.
Paper titles use emphasizing capitalization, e.g., “Ontologies for Good Health and Fun”.
All authors’ names, affiliations, and ORCID iDs (if available) are correctly provided in the author information.
The following command must appear in the CEURART template:
\copyrightyear{2026}
\copyrightclause{Copyright for this paper by its authors. Use permitted under Creative Commons License Attribution 4.0 International (CC BY 4.0).}
\conference{AIAA4KE 2026: AI Assistants for Knowledge Engineering (AIAA4KE), at ISWC 2026, October 25–29, 2026, Bari, Italy}
Declaration on Generative AI
Additionally, a Declaration on Generative AI is REQUIRED at the end of the paper (please check that all papers include this declaration) and could be:
Either:
The author(s) have not employed any Generative AI tools.
Or (by using the activity taxonomy in ceur-ws.org/genai-tax.html):
During the preparation of this work, the author(s) used X-GPT-4 and Grammarly in order to perform grammar and spelling checks. Further, the author(s) used X-AI-IMG for figures 3 and 4 in order to: Generate images. After using these tool(s)/service(s), the author(s) reviewed and edited the content as needed and take(s)full responsibility for the publication’s content
The header in LaTeX should look like \section*{Declaration on Generative AI} (Unnumbered section in Word)
NOTE: If you need a reference point, you can consult CEUR Workshop Proceedings or drop us an Email.