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30 August 2016, 5th Workshop "What can FCA do for AI?" (FCA4AI 2016), Den Haag, The Netherlands
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 involving learning, knowledge discovery, knowledge representation and reasoning, ontology engineering, and as well as information retrieval and text processing. Thus, there exist many ``natural links'' between FCA and AI.
Accordingly, in this workshop, we will be interested in two main issues:
- How can FCA support AI activities such as knowledge processing,
learning, natural language
processing and information retrieval.
- How can FCA be extended in order to help AI researchers to solve new
and complex problems in their domain.
For more information, see http://www.fca4ai.hse.ru/2016
The Programme Committee cordially invites all researchers to submit their papers for presentation. Submission deadline: June 5, 2016.
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