About CONCEPTS

The International Conference on Formal Concept Analysis (ICFCA), the International Conference on Concept Lattices and Their Applications (CLA) and the International Conference on Conceptual Structures (ICCS) are three highly relevant conferences in the field of formal concept analysis (FCA, homepage) and related areas. All three conferences contribute significantly to advancing the understanding and application of formal concept analysis. In particular,

  • ICFCA 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 primarily focuses on the theoretical foundations, algorithms, and applications of formal concept analysis and concept lattices,
  • ICCS, while not exclusively focused on formal concept analysis, 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 organisation of CONCEPTS will follow the existing rules and traditions of the three conferences.

Topics and scope of the conference:

  • advanced computing architectures and new programming models,
  • algorithms and complexity theory,
  • analysis of "big data" with FCA, e.g., sampling, parallel computing,
  • applications for scientific data analysis, e.g., in biology or health care,
  • artificial intelligence in scientific computing,
  • classification,
  • clustering,
  • computational humanities,
  • computational physics,
  • computational sociology,
  • data preprocessing,
  • education in computational science,
  • FCA and conceptual structures, e.g., concept graphs, knowledge spaces,
  • FCA and database theory, e.g., dependencies, rules, data cubes
  • FCA and information retrieval, e.g. exploratory search, navigation, querying,
  • FCA and machine learning, e.g., learning with hypothesis, feature selection,
  • foundations,
  • parallel and distributed computing,
  • philosophical foundations,
  • problem-solving environments,
  • quantum computing,
  • scientific computing.