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) which can be used for many AI needs, e.g. knowledge processi ng, knowledge discovery, knowledge representation and reasoning, ontology engineering, as well as in formation retrieval, recommendation, social networ k analysis and text processing. Thus, there exist many ``natural links'' between FCA and AI.
\n\nThe five preceding editions of the FCA4AI Wor kshop showed that many researchers working i n Artificial Intelligence are indeed interested in a powerful method for classification and mining s uch as Formal Concept Analysis. This year, we have the chance to organize a new edition of the works hop in Stockholm co-located with the IJCAI 2018 Co nference.
\nThe workshop welc omes submissions in pdf format in Springer's LNCS style. Submissions can be technical papers not exc eeding 12 pages, or system descriptions or positio n papers on work in progress not exceeding 6 pages . The workshop will include time for audience disc ussion toward developing a better understanding of the issues, challenges, and ideas being presented .
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