The KGCSW-SETN 2026 Workshop on Knowledge Graph Construction
The workshop on Knowledge Graph Construction is an essential step towards harnessing the transformative power of Artificial Intelligence (AI) in understanding complex data landscapes. In an era where data (either unstructured, semi-structured or structured) is not just abundant but also the bedrock of innovation, knowledge graphs stand out as pivotal tools for structuring this data, making it interpretable and actionable by AI systems. They enable the representation of data in a form that mirrors human understanding, facilitating more natural interaction between humans and machines, and enhancing AI's ability to generate insights that are both deep and relevant.
The construction of knowledge graphs embodies the synthesis of various AI disciplines, including natural language processing, machine learning, and semantic web technologies, thus being strongly related to the topics covered by SETN. By organizing this workshop, we aim to foster a collaborative environment where experts and enthusiasts across these fields can converge to share insights, challenges, and breakthroughs. This convergence is crucial for pushing the boundaries of what AI can achieve, making it more adaptable, intuitive, and capable of handling the nuances of real-world information.
Moreover, as AI continues to evolve, the methodologies and technologies for constructing knowledge graphs also need to advance. This workshop will not only serve as a platform for showcasing the latest developments but also acts as a catalyst for interdisciplinary innovation. By bridging the gap between theoretical research and practical applications, KGCSW-SETN can accelerate the integration of AI into diverse domains, from healthcare to cybersecurity, enhancing decision-making processes and creating more intelligent, autonomous systems. This workshop is held for the second time, following its previous edition at SETN 2024.
This workshop is planned to be a halfday event.
Specific topics covered and possible application areas
The proposed workshop targets a wide range of topics covered related to knowledge graphs, as well as several application areas. An indicative list is as follows:
Topics
- Foundations of Knowledge Graphs
- Knowledge Extraction and Integration
- Machine Learning, Large Language Models and Knowledge Graphs
- Natural Language Processing (NLP) for Knowledge Graphs
- Knowledge Graph Construction Tools and Technologies
- Scalability and Performance Optimization
Application areas
- Healthcare and Life Sciences
- Security and Cybersecurity
- Finance and Economics
- Human-computer interaction / Conversational agents
- E-Commerce and Retail
- Smart Cities and IoT
- Cultural Heritage and Digital Humanities
- Environmental Science and Sustainability
Paper Submission – Proceedings
All submitted papers will be peer-reviewed by at least two reviewers on the basis of technical quality, relevance to the topics of the conference, originality, novelty, significance, and clarity. The review process will be double-blind, hence authors should take care not to reveal their identities. We will use the network of collaborators of the recently finished ENCRYPT project to promote the workshop and attract high-quality submissions, engaging its established community and affiliated initiatives to ensure broad dissemination and participation.
KGCSW-SETN 2026 accepts submissions of two types of papers:
- Full papers (6-10 pages)
- Short papers (2-4 pages)
Submitting a paper to the workshop means that in case of acceptance and regardless of paper type (full, short), at least one author is required to fully register at SETN-2026 and present the paper.
Submit your paper at easychair (SETN 2026 Workshop on Knowledge Graph Construction):
https://www.easychair.org/conferences/?conf=setn2026
All accepted full and short papers will be presented during oral presentation sessions.
Finally, a special issue is planned for all accepted papers in the workshop. This option will further enhance the attractiveness of KGCSW-SETN.
Important Dates
- Paper Submission Deadline (all papers): July 13, 2026 (AOE)
- Author Notification: July 17, 2026 (AOE)
- Workshop Date: September 9, 2026
AOE: Anywhere On Earth Time Zone, 12 hours behind Coordinated Universal Time (UTC)
Organizing committee
1. Maria Papoutsoglou, School of Informatics, Aristotle University of Thessaloniki
2. Georgios Meditskos, School of Informatics, Aristotle University of Thessaloniki
3. Efstratios Kontopoulos, Choreograph
4. Johannes Wachs, Center for Collective Learning, Corvinus University Budapest.
5. Nick Bassiliades, School of Informatics, Aristotle University of Thessaloniki
6. Stefanos Vrochidis, Information Technologies Institute, CERTH
Main contact person: Maria Papoutsoglou (email: mpapo<at>csd.auth.gr)
Workshop Program Committee members
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