[ecoop-info] 1st CfP: FCA4AI Workshop at ECAI, August 2012, Montpellier, France

Sebastian Rudolph rudolph at kit.edu
Mon Feb 20 22:19:21 CET 2012

With apologies for cross-posting.

                         Call for Papers

          "What can FCA do for Artificial Intelligence?''
                      Workshop at ECAI 2012

                    August 27, 2012 (tentative)

                       Montpellier, France




Formal Concept Analysis (FCA) is a mathematically well-founded
theory aimed at data analysis and classification. FCA gives rise to
versatile data structures such as concept lattices and systems of
dependencies (implications) which can be used for a plethora of AI
needs, involving learning, knowledge discovery, knowledge
representation and reasoning, ontology engineering, as well as
information retrieval and text processing. Consequently, FCA and AI
are intimately related in terms of the pursued goals and employed

Recent years have been witnessing increased scientific activity
around FCA. In particular, a strand of work has emerged that is
aimed at extending the possibilities of FCA w.r.t. knowledge
processing, such as work on pattern structures, relational context
analysis and exploration-based ontology completion. These extensions
are aimed at enabling FCA to deal with more complex than just binary
data, from the data analysis and knowledge discovery point of view
but also from the perspective of knowledge representation as
employed in, e.g., ontology engineering. All these works extend the
capabilities of FCA and open up new chances and challenges for AI
activities in the framework of FCA.

Accordingly, in this workshop, we will be interested in two main

- How can FCA support AI activities such as knowledge processing
 (knowledge discovery, knowledge representation and reasoning),
 learning (clustering, pattern and data mining), natural language
 processing, and information retrieval?

- How can FCA be extended in order to help AI researchers to solve
 new and complex problems in their domain?


The workshop's topics of interest include but are not limited to:

- Concept lattices and related structures: description logics,
pattern structures, relational structures.

- Knowledge discovery and data mining with FCA: association rules,
itemsets and data dependencies, attribute implications, data
pre-processing, redundancy and dimensionality reduction,
classification and clustering.

- Knowledge engineering and ontology engineering: knowledge
representation and reasoning.

- Scalable algorithms for concept lattices and artificial
intelligence ``in the large'' (distributed aspects, big data).

- Applications of concept lattices: semantic web, information
retrieval, visualization and navigation, pattern recognition.

The workshop will include time for audience discussion toward a
better understanding of the issues, challenges, and ideas being


Submission deadline:    May 25, 2012
      Notification:   June 30, 2012
     Final version:   July 25, 2012
          Workshop: August 27, 2012


The workshop welcomes submissions in pdf format in Springer's LNCS
style. Submissions can be
- technical papers not exceeding 8 pages,
- system descriptions or position papers on work in progress not
 exceeding 4 pages

Submissions are via EasyChair at


The workshop proceedings will be published as CEUR proceedings.
In addition, the organizers will apply for a special issue of an 
international journal where extended versions of selected papers of 
the workshop shall be published.


- Sergei O. Kuznetsov
 Higher School of Economics, Moscow, Russia
- Amedeo Napoli
 LORIA-INRIA, Vandoeuvre les Nancy, France
- Sebastian Rudolph
 Karlsruhe Institute of Technology, Germany


- Mathieu D'Aquin
 Open University, Milton Keynes, UK
- Franz Baader
 Technische Universität Dresden, Germany
- Radim Belohlavek
 Palacky University, Olomouc, Czech Republic
- Claudio Carpineto
 Fondazione Ugo Bordoni, Roma, Italy
- Felix Distel
 Technische Universität Dresden, Germany
- Sébastien Ferré
 IRISA Rennes, France
- Bernhard Ganter
 Technische Universität Dresden, Germany
- Pascal Hitzler
 Wright State University, Dayton, Ohio, USA
- Marianne Huchard
 LIRMM Montpellier, France
- Dmitry I. Ignatov
 Higher School of Economics, Moscow, Russia
- Mehdi Kaytoue
 Universidade Federal Minas Gerais, Belo Horizonte, Brazil
- Markus Krötzsch
 University of Oxford, UK
- Sergei A. Obiedkov
 Higher School of Economics, Moscow, Russia
- Uta Priss
 Ostfalia University of Applied Sciences, Wolfenbüttel, Germany
- Baris Sertkaya
 SAP Dresden, Germany,
- Gerd Stumme
 Universität Kassel, Germany
- Petko Valtchev
 Université du Québec à Montréal, Montréal, Canada

PD Dr. Sebastian Rudolph
senior researcher & project leader at AIFB
Karlsruhe Institute of Technology (KIT)
rudolph at kit.edu                    phone +49 721 608 - 47362
www.sebastian-rudolph.de        fax +49 721 608 - 45998

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