10 August 2019, 7th Workshop "What can FCA do for Artificial Intelligence?" (FCA4AI 2019), Macao, China

Formal Concept Analysis (FCA) is a mathematically well-founded theory aimed at data analysis and classification. The six preceding editions of the FCA4AI Workshop (since ECAI 2012 until IJCAI 2018) showed that many researchers working in Artificial Intelligence are interested in FCA as a powerful method for classification and mining. FCA allows one to build a concept lattice and a system of dependencies (implications) which can be used for many AI needs. 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.

This year, we still have the chance to organize a new edition of the workshop in Macao co-located with the IJCAI 2019 Conference. The workshop will be dedicated to discuss issues such as
- How can FCA support AI activities such as knowledge discovery, knowledge representation and reasoning, machine learning, natural language processing...
- How can FCA be extended in order to help AI researchers to solve new and complex problems in their domain.