Conceptual Knowledge Structures
Description
This book constitutes the proceedings of the First International Joint Conference on Conceptual Knowledge Structures, CONCEPTS 2024, which took place in Cádiz, Spain, during September 9-13, 2024. The conference is an amalgamation of the 18th International Conference on Formal Concept Analysis (ICFCA); the 17th International Conference on Concept Lattices and Their Applications (CLA); and the 28th International Conference on Conceptual Structures (ICCS).
The 18 full and 4 short papers included in this book were carefully reviewed and selected from 38 submissions. They were organized in topical sections as follows: Theory; algorithms, methods, and resources; applications.
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Theory.- Sub-directly irreducible and semi-simple double Boolean algebras.- The Birkhoff completion of finite lattices.- Towards a generalized modus ponens based on the f-index of inclusion.- Efficiency of fuzzy decision algorithms based on the strength of decision rules.- Comparing Relational Concept Analysis and Graph-FCA on their common ground.- Algorithms, Methods, and Resources Shapley value in classification problems with Triadic Formal Concept Analysis.- What is the intrinsic dimension of your binary data? - and how to compute it quickly.- Rearrangement of fuzzy formal contexts for reducing cost of algorithms.- What can FCA-based Boolean matrix factorization do for object-attribute biclustering.- FCAvizIR: Exploring Relational Data Set's Implications using Metrics and Topics.- Realizability of Rectangular Euler Diagrams.- Spanning Concept Trees: Algorithms and Interaction.- A Repository for Formal Contexts.- Applications.- Conceptual Mapping of Controversies.- Conceptual Knowledge Modelling for Human-AI Teaming in Data-Frugal Industrial Environments.- Handling Knowledge over Moving Object Trajectories using Formal Concept Analysis.- Discovering the Structure of Odorants in Caenorhabditis elegans using Formal Concept Analysis.- Exploiting Formal Concept Analysis for Data Modeling in Data Lakes.- Document Classification via Stable Graph Patterns and Conceptual AMR Graphs.- Exploring Old Arabic Remedies with Formal and Relational Concept Analysis.- Enhancing JAAD with Knowledge Graphs for Improved Pedestrian Crossing Predictions.- Symbolic Artificial Intelligence for Schema Therapy using Knowledge Graphs.