Bibliographie
— FCA4AI (Fifth Edition) —
What can FCA do for Artificial Intelligence?''<br /> co-located with ECAI 2016, The Hague, Netherlands<br /> August 30 2016<br /> <a href="http://www.fca4ai.hse.ru/2016" rel="noreferrer" target="_blank" data-saferedirecturl="https://www.google.com/url?hl=fr&q=http://www.fca4ai.hse.ru/2016&source=gmail&ust=1464092441979000&usg=AFQjCNFMqT7IfMq-Wu1NOigF6BLZ3pW-IA">http://www.fca4ai.hse.ru/2016</a><br /> <br />------------------------------</p>
<div id=":d3x" class="a3s aXjCH m1549c947522a63de">------------------------------------------<br /> <br /> General Information.<br /> <br /> The preceding editions of the FCA4AI Workshop (ECAI 2014 and 2012, IJCAI<br /> 2015 and 2013) showed that many researchers working in Artificial<br /> Intelligence are indeed interested by a powerful method for<br /> classification and mining such as Formal Concept Analysis (see CEUR<br /> Proceedings Vol-1430, Vol-1257, Vol-1058, and Vol-939).<br /> This year, we have the chance to organize a new edition of the workshop<br /> in The Hague at the ECAI 2016 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 be<br /> 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<br /> processing. Thus, there exist manynatural 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 : June 5, 2016
Notification to authors : July 5, 2016
Final version : July 25, 2016
Workshop : August 30
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=fca4ai2016 (to be opened
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 (under construction)