<html><head><style type='text/css'>p { margin: 0; }</style></head><body><div style='font-family: times new roman,new york,times,serif; font-size: 12pt; color: #000000'>With apologies for cross-posting.<br><br>---------------------------------------------------------------------------<br> Call for Papers<br>---------------------------------------------------------------------------<br><br> --FCA4AI--<br> ``What can FCA do for Artificial Intelligence?''<br> (Second Edition)<br> co-located with IJCAI 2013<br><br> August 3-5, 2013<br><br> Beijing, China<br><br> http://www.fca4ai.hse.ru<br><br>---------------------------------------------------------------------------<br><br>General<br><br>The first edition of the FCA4AI Workshop at ECAI 2012 in Montpellier<br>showed that many researchers working in Artificial Intelligence are<br>indeed interested by a powerful method for classification and mining<br>such as Formal Concept Analysis (http://ceur-ws.org/Vol-939/). We have<br>the chance to organize a new edition of the workshop in Beijing at the<br>IJCAI 2013 Conference.<br><br>Formal Concept Analysis (FCA) is a mathematically well-founded theory<br>aimed at data analysis and classification. FCA allows one to build a<br>concept lattice and a system of dependencies (implications) which can<br>be used for many AI needs, e.g. knowledge processing involving learning,<br>knowledge discovery, knowledge representation and reasoning, ontology<br>engineering, and as well as information retrieval and text processing.<br>Thus, there exist many ``natural links'' between FCA and AI.<br><br>Recent years have been witnessing increased scientific activity around<br>FCA, in particular a strand of work emerged that is aimed at extending<br>the possibilities of FCA w.r.t. knowledge processing, such as work on<br>pattern structures and relational context analysis. These extensions<br>are aimed at allowing FCA to deal with more complex than just binary<br>data, both from the data analysis and knowledge discovery point of<br>view and from the knowledge representation point of view, including,<br>e.g., ontology engineering.<br>All these works extend the capabilities of FCA and offer new<br>possibilities for AI activities in the framework of FCA.<br><br>Accordingly, in this workshop, we will be interested in two main issues:<br><br>- How can FCA support AI activities such as knowledge processing (knowledge<br> discovery, knowledge representation and reasoning), learning (clustering,<br> pattern and data mining), natural language processing, information retrieval.<br>- How can FCA be extended in order to help AI researchers to solve new<br> and complex problems in their domain.<br><br>The workshop is dedicated to discuss such issues.<br><br>INVITED SPEAKER<br>TBA<br><br>TOPICS OF INTEREST include but are not limited to:<br><br>- Concept lattices and related structures: description logics, pattern<br> structures, relational structures.<br>- Knowledge discovery and data mining with FCA: association rules,<br> itemsets and data dependencies, attribute implications, data<br> pre-processing, redundancy and dimensionality reduction,<br> classification and clustering.<br>- Knowledge engineering and ontology engineering: knowledge<br> representation and reasoning.<br>- Scalable algorithms for concept lattices and artificial intelligence<br> ``in the large'' (distributed aspects, big data).<br>- Applications of concept lattices: semantic web, information<br> retrieval, visualization and navigation, pattern recognition.<br><br>The workshop will include time for audience discussion for having a<br>better understanding of the issues, challenges, and ideas being<br>presented.<br><br>IMPORTANT DATES:<br><br>Submission deadline: May 13, 2013<br> Notification: June 17, 2013<br> Final version: July 08, 2013<br> Workshop: August 03-05, 2013<br><br><br>SUBMISSION DETAILS:<br><br>The workshop welcomes submissions in pdf format in Springer's LNCS style.<br>Submissions can be<br>- technical papers not exceeding 8 pages,<br>- system descriptions or position papers on work in progress not<br> exceeding 4 pages<br><br>Submissions are via EasyChair at<br>https://www.easychair.org/conferences/?conf=fca4ai2013<br><br>The workshop proceedings will be published as CEUR proceedings.<br>A selection of the best papers presented at the workshop will be considered for a special issue of a high-level journal.<br><br>WORKSHOP CHAIRS:<br><br>- Sergei O. Kuznetsov Higher Schools of Economics, Moscow, Russia<br>- Amedeo Napoli LORIA-INRIA, Vandoeuvre les Nancy, France<br>- Sebastian Rudolph AIFB Karlsruhe Institute of Technology, Karlsruhe, Germany<br><br><br>PROGRAM COMMITTEE (in constitution)<br><br>Mathieu D'Aquin, Open University, Milton Keynes, UK<br>Franz Baader, Technische Universitaet Dresden, Germany<br>Radim Belohlavek, Palacky University, Olomouc, Czech Republic<br>Claudio Carpineto, Fondazione Ugo Bordoni, Roma, Italy<br>Felix Distel, Technische Universitaet Dresden, Germany<br>Sébastien Ferré, IRISA Rennes, France<br>Bernhard Ganter, Technische Universitaet Dresden, Germany<br>Pascal Hitzler, Wright State University, Dayton, Ohio, USA<br>Marianne Huchard, LIRMM Montpellier, France<br>Dmitry I. Ignatov, Higher School of Economics, Moscow, Russia<br>Mehdi Kaytoue, Universidade Federal Minas Gerais, Belo Horizonte, Brazil<br>Markus Krötzsch, University of Oxford, UK<br>Sergei A. Obiedkov, Higher Schools of Economics, Moscow, Russia<br>Uta Priss, Ostfalia University of Applied Sciences, Wolfenbüttel, Germany<br>Baris Sertkaya, SAP Dresden, Germany,<br>Gerd Stumme, Universitaet Kassel, Germany<br>Petko Valtchev, Université du Québec à Montréal, Montréal, Canada<br><br>---------------------------------------------------------------------------<br><br></div></body></html>