Proceedings of the International Workshop "What can FCA do for Artificial Intelligence?" (FCA4AI 2014)

Sergei O. Kuznetsov (1) , Amedeo Napoli (2) , Sebastian Rudolph (3)

1 Department of Applied Mathematics - State University Higher School of Economics
2 ORPAILLEUR - Knowledge representation, reasonning
3 TU Dresden - Technische Universität Dresden = Dresden University of Technology

This is the third edition of the FCA4AI workshop, whose first edition was organized at ECAI 2012 Conference (Montpellier, August 2012) and second edition was organized at IJCAI 2013 Conference (Beijing, August 2013, see http://www.fca4ai.hse.ru/). Formal Concept Analysis (FCA) is a mathematically well-founded theory aimed at data analysis and classification that can be used for many purposes, especially for Artificial Intelligence (AI) needs. The objective of the workshop is to investigate two main main issues: how can FCA support various AI activities (knowledge discovery, knowledge representation and reasoning, learning, data mining, NLP, information retrieval), and how can FCA be extended in order to help AI researchers to solve new and complex problems in their domain.

Mots clés: Formal Concept Analysis; Artificial Intelligence

Domaines: Intelligence artificielle [cs.AI]

Sergei O. Kuznetsov, Amedeo Napoli, Sebastian Rudolph. Proceedings of the International Workshop "What can FCA do for Artificial Intelligence?" (FCA4AI 2014). Sergei O. Kuznetsov; Amedeo Napoli; Sebastian Rudolph. International Workshop "What can FCA do for Artificial Intelligence?" (FCA4AI 2014) at ECAI 2014, 2014, Prague, Czech Republic. 1257, , pp.100, 2014, CEUR Proceedings. ⟨hal-01101150⟩