The Third International Joint Conference on Conceptual Knowledge Structures (CONCEPTS)
August 31 – September 4, 2026
Montpellier, France
History
ICFCA, CLA and ICCS are three highly relevant conferences in the field of formal concept analysis (FCA) and related areas. All three conferences contribute significantly to advancing the understanding and application of formal concept analysis. In particular:
- ICFCA stands for the International Conference on Formal Concept Analysis . This conference serves as a platform for researchers working on formal concept analysis to present their latest findings, exchange ideas, and discuss advancements in the field.
- CLA refers to Concept Lattices and Their Applications . This conference series primarily focuses on the theoretical foundations, algorithms, and applications of formal concept analysis and concept lattices.
- ICCS stands for the International Conference on Conceptual Structures . While not exclusively focused on formal concept analysis, ICCS explores conceptual structures and related theories, including formal concept analysis, ontology, knowledge representation, and semantic technologies.
On October 2023, representatives of the three conferences approved the merging of the three conferences ICFCA, CLA and ICCS and creating a new joint event, the International Joint Conference on Conceptual Knowledge Structures (CONCEPTS). This merger aimed to create a unified and comprehensive forum for researchers, academics, and professionals from various disciplines interested in formal concept analysis, conceptual structures, and related fields to exchange ideas, present their research, and discuss the latest advancements in these areas. For this purpose, the overall organization of CONCEPTS will follow the existing rules and traditions of the three conferences.
Past conferences:
Scope and Topics
We invite submissions on main topics including, but not limited to:
- Fundamental Aspects of Knowledge Representation
FCA theory, concept lattices, conceptual graphs, graph-based models for reasoning, ontologies, knowledge graphs, algorithms, computational complexity… - Data Analysis & Discovery
Conceptual knowledge acquisition, exploration, visualization, and data mining… - Extensions
Fuzzy, relational, triadic, probabilistic, possibilistic or approximative approaches to conceptual knowledge representation… - Bridging Domains
Connecting conceptual structures to sub-symbolic AI (machine learning, Generative AI, Large Language Models etc.), database theory, software engineering, natural language processing (NLP)… - Real-World Applications
Modeling phenomena in digital humanities, cybersecurity, biology, medicine, social network analysis, robotics… - Interdisciplinary
Psychology, philosophy, social sciences and learning spaces related to conceptual structures…
Partners & Sponsors
