Formal Concept Analysis

1. Front Matter

   PDF

2. Historic Paper

   1. Contextual Implications between Attributes and Some Representation Properties for Finite Lattices

      • Vincent Duquenne

      Pages 1-27

3. Regular Contributions

   1. Mathematical Morphology Operators over Concept Lattices

      • Jamal Atif, Isabelle Bloch, Felix Distel, Céline Hudelot

      Pages 28-43

   2. Dismantlable Lattices in the Mirror

      • Anne Berry, Alain Sigayret

      Pages 44-59

   3. Towards an Error-Tolerant Construction of \(\mathcal{EL}^\bot\)-Ontologies from Data Using Formal Concept Analysis

      • Daniel Borchmann

      Pages 60-75

   4. Using Pattern Structures for Analyzing Ontology-Based Annotations of Biomedical Data

      • Adrien Coulet, Florent Domenach, Mehdi Kaytoue, Amedeo Napoli

      Pages 76-91

   5. Formal Concept Analysis via Atomic Priming

      • Ruairí de Fréin

      Pages 92-108

   6. Applications of Ordinal Factor Analysis

      • Cynthia Vera Glodeanu, Bernhard Ganter

      Pages 109-124

   7. Tri-ordinal Factor Analysis

      • Cynthia Vera Glodeanu

      Pages 125-140

   8. Formal \(\mathcal{F}\)-contexts and Their Induced Implication Rule Systems

      • Lankun Guo, Qingguo Li, Petko Valtchev, Robert Godin

      Pages 141-155

   9. User-Friendly Fuzzy FCA

      • Juraj Macko

      Pages 156-171

   10. Proper Mergings of Stars and Chains Are Counted by Sums of Antidiagonals in Certain Convolution Arrays

       • Henri Mühle

       Pages 172-187

   11. Modeling Ceteris Paribus Preferences in Formal Concept Analysis

       • Sergei Obiedkov

       Pages 188-202

   12. Concept-Forming Operators on Multilattices

       • Jesús Medina-Moreno, Manuel Ojeda-Aciego, Jorge Ruiz-Calviño

       Pages 203-215

   13. Using FCA to Analyse How Students Learn to Program

       • Uta Priss

       Pages 216-227

   14. Soundness and Completeness of Relational Concept Analysis

       • Mohamed Rouane-Hacene, Marianne Huchard, Amedeo Napoli, Petko Valtchev

       Pages 228-243

   15. Contextual Uniformities

       • Christian Săcărea

       Pages 244-253

4. Position Paper

   1. Fitting Pattern Structures to Knowledge Discovery in Big Data

      • Sergei O. Kuznetsov

      Pages 254-266

5. Back Matter

   PDF

This book constitutes the refereed proceedings of the 11th International Conference on Formal Concept Analysis, ICFCA 2013, held in Dresden, Germany, in May 2013. The 15 regular papers presented in this volume were carefully reviewed and selected from 46 submissions. The papers present current research from a thriving theoretical community and a rapidly expanding range of applications in information and knowledge processing including data visualization and analysis (mining), knowledge management, as well as Web semantics, and software engineering. In addition the book contains a reprint of the first publication in english describing the seminal stem-base construction by Guigues and Duquenne; and a position paper pointing out potential future applications of FCA.

• description logics
• fuzzy logic
• knowledge discovery
• ontology learning
• relational data

• IRISA, Rennes, France

  Peggy Cellier

• Computer Science Department, TU Dresden, Dresden, Germany

  Felix Distel

• Department of Mathematics, TU Dresden, Dresden, Germany

  Bernhard Ganter

Policies and ethics