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Workshop Notes International Workshop ``What can FCA do for Artificial Intelligence?'' (FCA4AI 2015)

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 : This volume includes the proceedings of the fourth edition of the FCA4AI --What can FCA do for Artificial Intelligence?-- Workshop co-located with the IJCAI 2015 Conference in Buenos Aires (Argentina). 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 discovery, learning, knowledge representation, reasoning, ontology engineering, as well as information retrieval and text processing. There are many ``natural links'' between FCA and AI, and the present workshop is organized for discussing about these links and more generally for improving the links between knowledge discovery based on FCA and knowledge management in artificial intelligence.
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Submitted on : Thursday, January 7, 2016 - 6:51:24 PM
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  • HAL Id : hal-01252624, version 1


Sergei O. Kuznetsov, Amedeo Napoli, Sebastian Rudolph. Workshop Notes International Workshop ``What can FCA do for Artificial Intelligence?'' (FCA4AI 2015) . Kuznetsov, Sergei O. ; Napoli, Amedeo; Rudolph, Sebastian. France. CEUR Workshop Proceedings 1430, 2015, CEUR Workshop Proceedings 1430. ⟨hal-01252624⟩



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