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Workshop Notes of the Seventh International Workshop "What can FCA do for Artificial Intelligence?"

Sergei O. Kuznetsov 1 Amedeo Napoli 2 Sebastian Rudolph 3 
2 ORPAILLEUR - Knowledge representation, reasonning
Inria Nancy - Grand Est, LORIA - NLPKD - Department of Natural Language Processing & Knowledge Discovery
3 International Center For Computational Logic [TU Dresden]
Institute of Artificial Intelligence [Dresden]
Abstract : These are the proceedings of the seventh edition of the FCA4AI workshop ( co-located with the IJCAI 2019 Conference in Macao (China). Formal Concept Analysis (FCA) is a mathematically well-founded theory aimed at classification and knowledge discovery that can be used for many purposes in Artificial Intelligence (AI). The objective of the FCA4AI workshop is to investigate two main issues: how can FCA supports various AI activities (knowledge discovery, knowledge engineering, machine learning, data mining, information retrieval, recommendation. . . ), and how can FCA be extended in order to help AI researchers to solve new and complex problems in their domain.
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Submitted on : Tuesday, January 7, 2020 - 6:52:41 PM
Last modification on : Friday, January 21, 2022 - 3:10:09 AM


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  • HAL Id : hal-02431335, version 1


Sergei O. Kuznetsov, Amedeo Napoli, Sebastian Rudolph. Workshop Notes of the Seventh International Workshop "What can FCA do for Artificial Intelligence?". Sergei O. Kuznetsov; Amedeo Napoli; Sebastian Rudolph. FCA4AI 2019 (What can FCA do for Artificial Intelligence?), 2019, CEUR Workshop Proceedings 2529,, pp.87, 2019. ⟨hal-02431335⟩



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