[CogSci] FCA4AI at ECAI 2020 - New dates

[Amedeo Napoli]

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-- FCA4AI (Eighth Edition) -- 
What can FCA do for Artificial Intelligence? 
co-located with ECAI 2020, Santiago de Compostela, Spain 
August 30 2020 
http://www.fca4ai.hse.ru/2020 

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Note about the organization of the FCA4AI 2020 workshop: 

At the moment we do not know whether the ECAI Conference will go virtual or not. 
In any case, the FCA4AI 2020 workshop will run as smoothly and as lively as possible. 
The aim is to gather the FCA4AI community and to allow every potential author or interested researcher to attend the workshop either locally or remotely. 

General Information about FCA4AI 2020. 

The preceding editions of the FCA4AI Workshop (from ECAI 2012 until IJCAI 2019) showed that many researchers working in Artificial Intelligence are indeed interested by powerful techniques for classification and data mining provided by Formal Concept Analysis. Again, we have the chance to organize a new edition of the workshop in Santiago de Compostela, co-located with the ECAI 2020 Conference. 

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. Thus, there are many ``natural links'' between FCA and AI. 

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, such as work on pattern structures and relational context analysis, as well as on hybridization with other formalisms. 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. 

As usual, the FCA4AI workshop is dedicated to discuss 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 to solve complex problems in their domain. 

TOPICS OF INTEREST include but are not limited to: 

- Concept lattices and related structures: description logics, pattern structures, relational structures. 
- Knowledge discovery and data mining with FCA: association rules, itemsets and data dependencies, attribute implications, dimensionality reduction, classification, clustering, and biclustering. 
- Pattern mining, subgroup discovery, exceptional model mining, interestingness measures, MDL-based approaches in data mining. 
- Machine learning and hybridization: neural networks, random forests, SVM, and combination of classifiers with FCA. 
- Knowledge engineering, knowledge representation and reasoning, and ontology engineering. 
- Scalable and distributed algorithms for FCA and artificial intelligence, and for mining big data. 
- AI tasks based on FCA: information retrieval, recommendation, social network analysis, data visualization and navigation, pattern recognition... 
- Practical applications in agronomy, biology, chemistry, finance, manufacturing, medicine... 

The workshop will include time for audience discussion for having a better understanding of the issues, challenges, and ideas being presented. 

IMPORTANT DATES: 

Submission deadline: June 21 2020 
Notification to authors: July 20 2020 
Final version: August 03 2020 
Workshop: August 30 2020 

SUBMISSION DETAILS: 

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 at 
https://easychair.org/conferences/?conf=fca4ai2020 

The workshop proceedings will be published as CEUR proceedings 
(see preceding editions in CEUR Proceedings Vol-2529, Vol-2149, Vol-1703, Vol-1430, Vol-1257, Vol-1058, and Vol-939). 

WORKSHOP CHAIRS: 

Sergei O. Kuznetsov National Research University Higher Schools of Economics, Moscow, Russia 
Amedeo Napoli Université de Lorraine, CNRS, Inria, LORIA, Nancy, France 
Sebastian Rudolph Technische Universität Dresden, Germany 

PROGRAM COMMITTEE (under construction) 

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