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Exceptionally, speakers are allowed to present remotely if unable to travel to the venue (hybrid support).
 

Upcoming Submission Deadlines

Late-Breaking Submission Deadline: July 24, 2026
Abstracts Track Submission: July 31, 2026

(See Important Dates for more information)
Knowledge Engineering (KE) encompasses the technical, scientific, and social aspects of building, maintaining, and utilizing knowledge-based systems. It draws on AI, databases, expert systems, decision support systems, and software engineering, while integrating insights from logic, cognitive science, and socio-cognitive engineering. Recently, Large Language Models (LLMs) and Low-code/No-code Platforms have expanded KE’s reach by enabling automated ontology generation and greater accessibility.

Ontology Development (OD) focuses on creating reusable semantic structures like vocabularies, glossaries, and formal ontologies. These structures are essential in applications such as knowledge graphs, digital twins, explainable AI (XAI), cybersecurity, and IoT interoperability. Ontologies also play a crucial role in ensuring ethical AI development, mitigating bias, and enhancing transparency.

KEOD serves as a key venue for researchers and practitioners to explore traditional and cutting-edge topics like LLM-based Ontology Development, Ontology-driven Digital Twins, and Ontology-enhanced Low-code Platforms, fostering innovation in KE and OD across academia and industry.








Conference Co-chairs

Jorge Bernardino, Polytechnic University of Coimbra, Portugal
Ricardo da Silva Torres, Artificial Intelligence Group, Wageningen University & Research, Netherlands

PROGRAM CO-CHAIRS

David Aveiro, University of Madeira, NOVA-LINCS and ARDITI, Portugal
Jesualdo Tomás Fernández-Breis, University of Murcia, Spain

Keynote Speakers

Alun Preece, Cardiff University, United Kingdom
Philippe Cudré-Mauroux, University of Fribourg, Switzerland
Marta Sabou, Vienna University of Economics and Business (WU), Austria

 
Publications:
Science and Technology Publications, Lda

All papers presented at the conference venue
will be available at the SCITEPRESS Digital Library
(consult SCITEPRESS Ethics of Publication)
Springer Nature Computer Science

A short list of best papers will be invited
for a post-conference special issue of the
Springer Nature Computer Science Journal
Communications in Computer and Information Science

It is planned to publish a short list of revised and
extended versions of presented papers with
Springer in a CCIS Series book
Proceedings will be submitted for evaluation for indexing by:


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