[PlanetKR] CFP FCA4AI Workshop at ECAI 2014 ``What can FCA do for Artificial Intelligence?'' (3rd Edition)

[Amedeo Napoli]

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Call for Papers 
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--FCA4AI-- 
``What can FCA do for Artificial Intelligence?'' 
(Third Edition) 
co-located with ECAI 2014 

August 19 2014 

Prague, Czech Republic 

http://www.fca4ai.hse.ru 

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General 

The first and the second editions of the FCA4AI Workshop (ECAI 2012, 
Montpellier and IJCAI 2013, Beijing) showed that many researchers 
working in Artificial Intelligence are indeed interested by a powerful 
method for classification and mining such as Formal Concept Analysis 
(see http://ceur-ws.org/Vol-939/ and http://ceur-ws.org/Vol-1058/). We 
have the chance to organize a new edition of the workshop in Prague at 
the ECAI 2014 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 
presented. 

IMPORTANT DATES: 

Submission deadline: May 30, 2014 
Notification to authors: June 23, 2014 
Final version: July 14, 2014 
Workshop: August 19, 2014 


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=fca4ai2014 (opening soon) 

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. 

WORKSHOP CHAIRS: 

Sergei O. Kuznetsov Higher Schools of Economics, Moscow, Russia 
Amedeo Napoli LORIA-INRIA, Vandoeuvre les Nancy, France 
Sebastian Rudolph Technische Universitaet Dresden, 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 
Karell Bertet, Université de La Rochelle, France 
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, LIRIS-INSA, University of Lyon, France 
Markus Krötzsch, University of Oxford, UK 
Sergei A. Obiedkov, Higher Schools of Economics, Moscow, Russia 
Jan Outrata, Palacky University, Olomouc, Czech Republic 
Uta Priss, Ostfalia University of Applied Sciences, Wolfenbüttel, Germany 
Baris Sertkaya, SAP Dresden, Germany, 
Henry Soldano, Université de Paris-Nord, France 
Gerd Stumme, Universitaet Kassel, Germany 
Petko Valtchev, Université du Québec à Montréal, Montréal, Canada 

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