=GENERAL=

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 methods.

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
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, and information retrieval?

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


=TOPICS OF INTEREST=

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 presented.

=IMPORTANT DATES=

Submission deadline (NEW!):    June 8th, 2012
Notification:   June 30, 2012
Final version:   July 25, 2012
Workshop: August 27, 2012


=SUBMISSION DETAILS=

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

https://www.easychair.org/conferences/?conf=fca4ai2012

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.

=WORKSHOP CHAIRS=

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


=PROGRAM COMMITTEE=

- 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