Logic List Mailing Archive
CfP: FCA4AI 12: "What can FCA do for Artificial Intelligence?'', 19 October, Santiago de Compostela (Spain)
Apologies for duplicates...
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-- FCA4AI (Twelfth Edition) --
"What can FCA do for Artificial Intelligence?
''
co-located with ECAI 2024, Santiago de Compos
tela, Spain
October 19th 2024
http://www.fca4ai.hse.ru/2024
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General Information.
The eleven preceding editions of the FCA4AI Workshop (from ECAI 2012 until
IJCAI 2023) showed that many researchers working in Artificial Intelligence
are indeed interested in powerful techniques for classification and data m
ining provided by Formal Concept Analysis. The twelfth edition of FCA4AI wi
ll once more be co-located with the ECAI Conference, and thus be held in Sa
ntiago de Compostela.
Formal Concept Analysis (FCA) is a mathematically well-founded theory aimed
at data analysis and classification. FCA allows one to build a concept lat
tice and a system of dependencies (implications and association rules) whic
h can be used for many AI needs, e.g. knowledge processing, knowledge disco
very, 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 poss
ibilities of plain FCA w.r.t. knowledge processing, such as work on pattern
structures and relational context analysis, as well as on hybridization w
ith other formalisms. These extensions are aimed at allowing FCA to deal wi
th more complex than just binary data, for solving complex problems in data
analysis, classification, knowledge processing, etc. While the capabilitie
s of FCA are extended, new possibilities are arising in the framework of FC
A.
As usual, the FCA4AI workshop is dedicated to the discussion of such issues
, and in particular:
- How can FCA support AI activities in knowledge discovery, knowledge repre
sentation and reasoning, machine learning, natural language processing and
others?
- Vice versa, how can the current developments in AI be adopted within FCA
to help AI researchers solve complex problems in their domain?
- Which role can FCA play in the new trends in AI, especially in ML, XAI, f
airness of algorithms, and "hybrid systems'' combining symbolic and subsymb
olic approaches?
TOPICS OF INTEREST include but are not limited to:
- Concept lattices and related structures: pattern structures, relational s
tructures, distributive lattices.
- Knowledge discovery and data mining: pattern mining, association rules, a
ttribute implications, subgroup discovery, exceptional model mining, data d
ependencies, attribute exploration, stability, projections, interestingness
measures, MDL principle, mining of complex data, triadic and polyadic anal
ysis.
- Knowledge and data engineering: knowledge representation, reasoning, onto
logy engineering, mining the web of data, text mining, data quality checkin
g.
- Analyzing the potential of FCA in supporting hybrid systems: how to combi
ne FCA and data mining algorithms, such as deep learning for building hybri
d knowledge discovery systems, producing explanations, and assessing system
fairness.
- Analyzing the potential of FCA in AI tasks such as classification, cluste
ring, biclustering, information retrieval, navigation, recommendation, text
processing, visualization, pattern recognition, analysis of social network
s.
- FCA and Large Language Models (LLMs).
- Practical applications in agronomy, astronomy, biology, chemistry, financ
e, manufacturing, medicine, and others.
The workshop will include time for audience discussion aimed at a better un
derstanding of the issues, challenges, and ideas being presented.
IMPORTANT DATES:
Submission deadline: August 25 2024
Notification to authors: September 16 2024
Final version: October 06 2024
Workshop: October 19 2024
SUBMISSION DETAILS:
The workshop welcomes submissions in pdf format following the CEURART style
1-column
(to be downloaded at https://ceur-ws.org/Vol-XXX/CEURART.zip).
Submissions can be:
- technical papers between 8 and 12 pages,
- system descriptions or position papers describing work in progress not ex
ceeding 6 pages.
Submissions are via EasyChair at https://easychair.org/conferences/?conf=
fca4ai2024
The workshop proceedings will be published as CEUR proceedings (see precedi
ng editions in CEUR Proceedings Vol-3489, Vol-3233, Vol-2972, Vol-2729, 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 Eco
nomics, Moscow, Russia
Amedeo Napoli Universit de Lorraine, CNRS, Inria, LORIA, Nancy,
France
Sebastian Rudolph Technische Universitt Dresden, Germany
PROGRAM COMMITTEE (under construction)
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