27 Aug 2012
Montpellier, France
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Call for Papers
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--FCA4AI--
"What can FCA do for Artificial Intelligence?''
Workshop at ECAI 2012
August 27, 2012 (tentative)
Montpellier, France
http://www.fca4ai.hse.ru
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=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