[Event at CIG] KGCSW-SETN 2026: Knowledge Graph Construction Workshop: Call for Papers

Announce announce at ucy.ac.cy
Wed Jun 24 12:30:29 CEST 2026


CALL FOR PAPERS: SETN 2026 WORKSHOP
KGCSW-SETN 2026: Knowledge Graph Construction Workshop


OVERVIEW
--------
The workshop on Knowledge Graph Construction is an essential step towards
harnessing the transformative power of Artificial Intelligence (AI) in
understanding complex data landscapes. Knowledge graphs stand out as pivotal
tools for structuring 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.

The construction of knowledge graphs embodies the synthesis of various AI
disciplines, including natural language processing, machine learning, and
semantic web technologies. 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 workshop is held for the second time, following its previous edition at
SETN 2024.

WORKSHOP FORMAT
---------------
Half-day event
Location: SETN 2026 Conference (Chania, Crete, Greece)
Date: September 9, 2026


TOPICS OF INTEREST
------------------

FOUNDATIONS & TECHNICAL TOPICS:
1. Foundations of Knowledge Graphs
2. Knowledge Extraction and Integration
3. Machine Learning, Large Language Models and Knowledge Graphs
4. Natural Language Processing (NLP) for Knowledge Graphs
5. Knowledge Graph Construction Tools and Technologies
6. Scalability and Performance Optimization

APPLICATION AREAS:
1. Healthcare and Life Sciences
2. Security and Cybersecurity
3. Finance and Economics
4. Human-computer interaction / Conversational agents
5. E-Commerce and Retail
6. Smart Cities and IoT
7. Cultural Heritage and Digital Humanities
8. Environmental Science and Sustainability


SUBMISSION GUIDELINES
---------------------

PAPER TYPES:
- Full papers: 6-10 pages
- Short papers: 2-4 pages

SUBMISSION PLATFORM:
EasyChair: https://www.easychair.org/conferences/?conf=setn2026
(Select "SETN 2026 Workshop on Knowledge Graph Construction")

REVIEW PROCESS:
- Double-blind peer review
- At least 2 reviewers per paper
- Evaluation criteria: technical quality, relevance, originality, novelty,
significance, and clarity

PUBLICATION:
- All accepted papers will be included in the SETN 2026 Conference Proceedings
- Published by the Association for Computing Machinery (ACM)
- Available through the ACM Digital Library
- Special issue planned for all accepted workshop papers


AUTHOR REQUIREMENTS
-------------------

For papers to be included in the proceedings and presented at the conference:
* At least one author MUST fully register at SETN 2026 as an "Author"
* At least one author is EXPECTED to attend the conference for presentation


IMPORTANT DATES
---------------

Paper Submission Deadline: July 13, 2026 (AOE)*
Author Notification: July 17, 2026 (AOE)*
Workshop Date: September 9, 2026

*AOE = Anywhere On Earth Time Zone (UTC-12)


ORGANIZING COMMITTEE
--------------------

Maria Papoutsoglou (Chair)
School of Informatics, Aristotle University of Thessaloniki
Email: mpapo(at)csd.auth.gr

Georgios Meditskos
School of Informatics, Aristotle University of Thessaloniki

Efstratios Kontopoulos
Choreograph

Johannes Wachs
Center for Collective Learning, Corvinus University Budapest

Nick Bassiliades
School of Informatics, Aristotle University of Thessaloniki

Stefanos Vrochidis
Information Technologies Institute, CERTH


CONTACT INFORMATION
-------------------

For questions or inquiries regarding the workshop:
Email: mpapo(at)csd.auth.gr


ADDITIONAL INFORMATION
----------------------

Workshop Page:
https://www.setn2026.tuc.gr/en/program/workshop

EasyChair Submission:
https://www.easychair.org/conferences/?conf=setn2026


==============================================================
SETN 2026 Conference - September 9-12, 2026
Chania, Crete, Greece
==============================================================


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