News and Events: Conferences

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23 - 24 July 2022, 10th Workshop 'What Can FCA Do for Artificial Intelligence?' (FCA4AI 2022), Vienna, Austria

Date: 23 - 24 July 2022
Location: Vienna, Austria
Deadline: Monday 6 June 2022

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 and association rules) 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. 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 plain FCA w.r.t. knowledge processing. These extensions are aimed at allowing FCA to deal with more complex than just binary data, for solving complex problems in data analysis, classification, knowledge processing... While the capabilities of FCA are extended, new possibilities are arising in the framework of FCA.

We are pleased to announce that the 10th FCA4AI Workshop co-located with the IJCAI-ECAI 2022 Conference that will take place in July 2022. As usual, the FCA4AI workshop is dedicated to the discussion of such issues, and in particular:
- How can FCA support AI activities in knowledge discovery, knowledge representation and reasoning, machine learning, natural language processing...
- By contrast, how the current developments in AI can be integrated within FCA to help AI researchers solve complex problems in their domain,
- Which 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 subsymbolic approaches.
The workshop will include time for audience discussion aimed at better understanding of of the issues, challenges, and ideas being presented.

The workshop welcomes submissions in pdf format in Springer's LNCS style. Submissions can be: - technical papers not exceeding 12 pages, - system descriptions or position papers on work in progress not exceeding 6 pages. Submissions are via EasyChair. The workshop proceedings will be published as CEUR proceedings.

For more information, see http://www.fca4ai.hse.ru/2022.

Please note that this newsitem has been archived, and may contain outdated information or links.