[Date Prev][Date Next][Thread Prev][Thread Next][Date Index][Thread Index]

[PVS] 1st call for papers workshop "FCA4AI 2013 at IJCAI 2013"

With apologies for cross-posting.

                            Call for Papers

              ``What can FCA do for Artificial Intelligence?''
                              (Second Edition)
                         co-located with IJCAI 2013

                            August 3-5, 2013

                          Beijing, China




The first edition of the FCA4AI Workshop at ECAI 2012 in Montpellier
showed that many researchers working in Artificial Intelligence are
indeed interested by a powerful method for classification and mining
such as Formal Concept Analysis (http://ceur-ws.org/Vol-939/). We have
the chance to organize a new edition of the workshop in Beijing at the
IJCAI 2013 Conference.

Formal Concept Analysis (FCA) is a mathematically well-founded theory
aimed at data analysis and classification. FCA allows one to build a
concept lattice and a system of dependencies (implications) which can
be used for many AI needs, e.g. knowledge processing involving learning,
knowledge discovery, knowledge representation and reasoning, ontology
engineering, and as well as information retrieval and text processing.
Thus, there exist many ``natural links'' between FCA and AI.

Recent years have been witnessing increased scientific activity around
FCA, in particular a strand of work emerged that is aimed at extending
the possibilities of FCA w.r.t. knowledge processing, such as work on
pattern structures and relational context analysis. These extensions
are aimed at allowing FCA to deal with more complex than just binary
data, both from the data analysis and knowledge discovery point of
view and from the knowledge representation point of view, including,
e.g., ontology engineering.
All these works extend the capabilities of FCA and offer new
possibilities for AI activities in the framework of FCA.

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

- 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, information retrieval.
- How can FCA be extended in order to help AI researchers to solve new
  and complex problems in their domain.

The workshop is dedicated to discuss such issues.


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 for having a
better understanding of the issues, challenges, and ideas being


Submission deadline: May 13, 2013
       Notification: June 17, 2013
      Final version: July 08, 2013
           Workshop: August 03-05, 2013


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.
A selection of the best papers presented at the workshop will be considered for a special issue of a high-level journal.


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

PROGRAM COMMITTEE (in constitution)

Mathieu D'Aquin, Open University, Milton Keynes, UK
Franz Baader, Technische Universitaet Dresden, Germany
Radim Belohlavek, Palacky University, Olomouc, Czech Republic
Claudio Carpineto, Fondazione Ugo Bordoni, Roma, Italy
Felix Distel, Technische Universitaet Dresden, Germany
Sébastien Ferré, IRISA Rennes, France
Bernhard Ganter, Technische Universitaet 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 Schools of Economics, Moscow, Russia
Uta Priss, Ostfalia University of Applied Sciences, Wolfenbüttel, Germany
Baris Sertkaya, SAP Dresden, Germany,
Gerd Stumme, Universitaet Kassel, Germany
Petko Valtchev, Université du Québec à Montréal, Montréal, Canada