<html><head></head><body style="word-wrap: break-word; -webkit-nbsp-mode: space; -webkit-line-break: after-white-space; "><div><div>With apologies for cross-posting.<br><br>--------------------------------------------------------------------<br> Call for Papers<br>--------------------------------------------------------------------<br><br> --FCA4AI--<br> "What can FCA do for Artificial Intelligence?''<br> Workshop at ECAI 2012<br><br> August 27, 2012 (tentative)<br><br> Montpellier, France<br><br> <a href="http://www.fca4ai.hse.ru">http://www.fca4ai.hse.ru</a><br><br>--------------------------------------------------------------------<br><br>=GENERAL=<br><br>Formal Concept Analysis (FCA) is a mathematically well-founded<br>theory aimed at data analysis and classification. FCA gives rise to<br>versatile data structures such as concept lattices and systems of<br>dependencies (implications) which can be used for a plethora of AI<br>needs, involving learning, knowledge discovery, knowledge<br>representation and reasoning, ontology engineering, as well as<br>information retrieval and text processing. Consequently, FCA and AI<br>are intimately related in terms of the pursued goals and employed<br>methods.<br><br>Recent years have been witnessing increased scientific activity<br>around FCA. In particular, a strand of work has emerged that is<br>aimed at extending the possibilities of FCA w.r.t. knowledge<br>processing, such as work on pattern structures, relational context<br>analysis and exploration-based ontology completion. These extensions<br>are aimed at enabling FCA to deal with more complex than just binary<br>data, from the data analysis and knowledge discovery point of view<br>but also from the perspective of knowledge representation as<br>employed in, e.g., ontology engineering. All these works extend the<br>capabilities of FCA and open up new chances and challenges for AI<br>activities in the framework of FCA.<br><br>Accordingly, in this workshop, we will be interested in two main<br>issues:<br><br>- How can FCA support AI activities such as knowledge processing<br>(knowledge discovery, knowledge representation and reasoning),<br>learning (clustering, pattern and data mining), natural language<br>processing, and information retrieval?<br><br>- How can FCA be extended in order to help AI researchers to solve<br>new and complex problems in their domain?<br><br><br>=TOPICS OF INTEREST=<br><br>The workshop's topics of interest include but are not limited to:<br><br>- Concept lattices and related structures: description logics,<br>pattern structures, relational structures.<br><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><br>- Knowledge engineering and ontology engineering: knowledge<br>representation and reasoning.<br><br>- Scalable algorithms for concept lattices and artificial<br>intelligence ``in the large'' (distributed aspects, big data).<br><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 toward a<br>better understanding of the issues, challenges, and ideas being<br>presented.<br><br>=IMPORTANT DATES=<br><br>Submission deadline (NEW!): June 8th, 2012<br>Notification: June 30, 2012<br>Final version: July 25, 2012<br>Workshop: August 27, 2012<br><br><br>=SUBMISSION DETAILS=<br><br>The workshop welcomes submissions in pdf format in Springer's LNCS<br>style. 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><br><a href="https://www.easychair.org/conferences/?conf=fca4ai2012">https://www.easychair.org/conferences/?conf=fca4ai2012</a><br><br>The workshop proceedings will be published as CEUR proceedings.<br>In addition, the organizers will apply for a special issue of an <br>international journal where extended versions of selected papers of <br>the workshop shall be published.<br><br>=WORKSHOP CHAIRS=<br><br>- Sergei O. Kuznetsov<br>Higher School of Economics, Moscow, Russia<br>- Amedeo Napoli<br>LORIA-INRIA, Vandoeuvre les Nancy, France<br>- Sebastian Rudolph<br>Karlsruhe Institute of Technology, Germany<br><br><br>=PROGRAM COMMITTEE=<br><br>- Mathieu D'Aquin<br>Open University, Milton Keynes, UK<br>- Franz Baader<br>Technische Universität Dresden, Germany<br>- Radim Belohlavek<br>Palacky University, Olomouc, Czech Republic<br>- Claudio Carpineto<br>Fondazione Ugo Bordoni, Roma, Italy<br>- Felix Distel<br>Technische Universität Dresden, Germany<br>- Sébastien Ferré<br>IRISA Rennes, France<br>- Bernhard Ganter<br>Technische Universität Dresden, Germany<br>- Pascal Hitzler<br>Wright State University, Dayton, Ohio, USA<br>- Marianne Huchard<br>LIRMM Montpellier, France<br>- Dmitry I. Ignatov<br>Higher School of Economics, Moscow, Russia<br>- Mehdi Kaytoue<br>Universidade Federal Minas Gerais, Belo Horizonte, Brazil<br>- Markus Krötzsch<br>University of Oxford, UK<br>- Sergei A. Obiedkov<br>Higher School of Economics, Moscow, Russia<br>- Uta Priss<br>Ostfalia University of Applied Sciences, Wolfenbüttel, Germany<br>- Baris Sertkaya<br>SAP Dresden, Germany,<br>- Gerd Stumme<br>Universität Kassel, Germany<br>- Petko Valtchev<br>Université du Québec à Montréal, Montréal, Canada<br><br><br><br>_________________________________________________<br>PD Dr. Sebastian Rudolph<br>senior researcher & project leader at AIFB<br>Karlsruhe Institute of Technology (KIT)<br>rudolph@kit.edu phone +49 721 608 - 47362<br>www.sebastian-rudolph.de fax +49 721 608 - 45998<br><br><br></div></div><br><div>
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