| Vol-1257 urn:nbn:de:0074-1257-8 Copyright © 2014 for the individual papers by the papers' authors. Copying permitted for private and academic purposes. This volume is published and copyrighted by its editors.

# FCA4AI 2014
What can FCA do for Artificial Intelligence?

### Proceedings of the 3rd International Workshop "What can FCA do for Artificial Intelligence"?
co-located with the European Conference on Artificial Intelligence (ECAI 2014)

### Prague, Czech Republic, August 19, 2014.

Edited by

### Sergei O. Kuznetsov *
Amedeo Napoli **
Sebastian Rudolph ***

* National Research University, Higher School of Economics, Moscow, Russia
** LORIA Nancy, France
*** Technische Universität Dresden, Germany

## Table of Contents

- Preface

- Abstraction, Taxonomies, Connectivity: From AI to FCA and Back (invited talk) 7-8
  Henry Soldano
- Using Formal Concept Analysis to Create Pathways through Museum Collections 9-16
  Tim Wray, Peter Eklund
- Can FCA-based Recommender System Suggest a Proper Classifier? 17-26
  Yury Kashnitsky, Dmitry Ignatov
- Bicluster enumeration using Formal Concept Analysis 27-34
  Victor Codocedo, Amedeo Napoli
- Towards an FCA-based Recommender System for Black-Box Optimization 35-42
  Josefine Asmus, Daniel Borchmann, Ivo F. Sbalzarini, Dirk Walther
- Metric Generalization and Modification of Classification Algorithms Based on Formal Concept Analysis 43-50
  Evgeny Kolmakov
- Concept Stability as a Tool for Pattern Selection 51-58
  Aleksey Buzmakov, Sergei O. Kuznetsov, Amedeo Napoli
- About Universality and Flexibility of FCA-based Software Tools 59-65
  A.A. Neznanov, A.A. Parinov
- PRCA -- A Parallel Relational Concept Analysis Framework 66-76
  Ines Moosdorf, Adrian Paschke, Alexandru Todor, Jens Dietrich, Hans W. Guesgen
- Concept Building with Non-Hierarchical Relations Extracted from Text -- Comparing a Purely Syntactical Approach to a Semantic one 77-84
  Silvia Moraes, Vera Lima, Luis Furquim
- What can FCA do for Database Linkkey Extraction? 85-92
  Manuel Atencia, Jérôme David, Jérôme Euzenat
- Lattice-Based View Access: A way to Create Views over SPARQL Query for Knowledge Discovery 93-100
  Mehwish Alam, Amedeo Napoli

- The complete proceedings

2014-09-30: submitted by Amedeo Napoli
2014-10-06: published on CEUR-WS.org |valid HTML5|