Logic List Mailing Archive

FCA4AI 2018: What can FCA do for AI?

13 Jul 2018
Stockholm, Sweden

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-- FCA4AI (Sixth Edition) --
``What can FCA do for Artificial Intelligence?''
co-located with IJCAI 2018, Stockholm, Sweden
July 13 2018
http://www.fca4ai.hse.ru/2018
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General Information.

The five preceding editions of the FCA4AI Workshop (ECAI 2016, 2014 and 
2012, IJCAI 2015 and 2013) showed that many researchers working in 
Artificial Intelligence are indeed interested in a powerful method for 
classification and mining such as Formal Concept Analysis (see CEUR 
Proceedings Vol-1703, Vol-1430, Vol-1257, Vol-1058, and Vol-939). This 
year, we have the chance to organize a new edition of the workshop in 
Stockholm co-located with the IJCAI 2018 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) 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 exist 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 FCA w.r.t. knowledge processing, such as work on pattern 
structures and relational concept analysis. These extensions are aimed at 
allowing FCA to deal with more complex than just binary data, for solving 
problems in data analysis, knowledge discovery, knowledge representation, 
ontology engineering, and many more. All these works extend the 
capabilities of FCA and offer new possibilities for AI activities in the 
framework of FCA.

Accordingly, in this workshop, we will be interested in the following main 
issues:

- How can FCA support AI activities such as knowledge processing 
(knowledge discovery, knowledge representation and reasoning), learning 
(clustering, pattern and data mining), natural language processing, or 
information retrieval?

- How can FCA be extended in order to help AI researchers to solve new and 
complex problems in their domain?

The workshop is dedicated to discussing such issues.

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, data 
pre-processing, redundancy and dimensionality reduction, classification 
and clustering.

- Knowledge engineering and ontology engineering: knowledge representation 
and reasoning.

- Scalable algorithms for concept lattices and artificial intelligence 
``in the large'' (distributed aspects, big data).

- Applications of concept lattices: semantic web, information retrieval, 
visualization and navigation, pattern recognition, and practical 
applications in agronomy, biology, chemistry, finance, manufacturing, 
medicine, etc.

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

IMPORTANT DATES:

Submission deadline: May 23 2018
Notification to authors: June 11 2018
Final version: June 25 2018
Workshop: July 13 2018

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=fca4ai2018

The workshop proceedings will be published as CEUR proceedings.
A selection of the best papers presented at the workshop will be considered for a special issue in a high-level journal.

WORKSHOP CHAIRS:

Sergei O. Kuznetsov Higher Schools of Economics, Moscow, Russia
Amedeo Napoli LORIA-INRIA, Vandoeuvre les Nancy, France
Sebastian Rudolph TU Dresden, Germany

PROGRAM COMMITTEE (under construction)

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