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13 July 2018, 6th Workshop "What can FCA do for AI?" (FCA4AI 2018), Stockholm, Sweden
Formal Concept Analysis (FCA) is a mathematically well-founded theory aimed at data analysis and classification. 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 processing, knowledge discovery, knowledge representation and reasoning, ontology engineering, as well as information retrieval, recommendation, social network analysis and text processing. Thus, there exist many ``natural links'' between FCA and AI.
The five preceding editions of the FCA4AI Workshop showed that many researchers working in Artificial Intelligence are indeed interested in a powerful method for classification and mining such as Formal Concept Analysis. This year, we have the chance to organize a new edition of the workshop in Stockholm co-located with the IJCAI 2018 Conference.
The workshop welcomes submissions in pdf format in Springer's LNCS style. Submissions can be technical papers not exceeding 12 pages, or system descriptions or position papers on work in progress not exceeding 6 pages. The workshop will include time for audience discussion toward developing a better understanding of the issues, challenges, and ideas being presented.
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