Formal Co ncept Analysis (FCA) is a mathematically well-foun ded theory aimed at data analysis and classificati on. FCA allows one to build a concept lattice and a system of dependencies (implications and associa tion rules) which can be used for many AI needs, e .g. knowledge processing, knowledge discovery, kno wledge representation and reasoning, ontology engi neering as well as information retrieval, recommen dation, social network analysis and text processin g. Recent years have been witnessing increased sci entific activity around FCA, in particular a stran d of work emerged that is aimed at extending the p ossibilities of plain FCA w.r.t. knowledge process ing. These extensions are aimed at allowing FCA to deal with more complex than just binary data, for solving complex problems in data analysis, classi fication, knowledge processing... While the capabi lities of FCA are extended, new possibilities are arising in the framework of FCA.
\nWe are
pleased to announce that the 10th FCA4AI Workshop
co-located with the IJCAI-ECAI 2022 Conferenc
e that will take place in July 2022. As usual, the
FCA4AI workshop is dedicated to the discussion of
such issues, and in particular:
\n - How can
FCA support AI activities in knowledge discovery,
knowledge representation and reasoning, machine le
arning, natural language processing...
\n - By
contrast, how the current developments in AI can
be integrated within FCA to help AI researchers so
lve complex problems in their domain,
\n - Whi
ch role can be played by FCA in the new trends in
AI, especially in ML, XAI, fairness of algorithms,
and ``hybrid systems'' combining symbolic and sub
symbolic approaches.
\n The workshop will incl
ude time for audience discussion aimed at better u
nderstanding of of the issues, challenges, and ide
as being presented.
The wor kshop welcomes submissions in pdf format in Spring er's LNCS style. Submissions can be: - technical p apers not exceeding 12 pages, - system description s or position papers on work in progress not excee ding 6 pages. Submissions are via EasyChair. The w orkshop proceedings will be published as CEUR proc eedings.
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