Modelling Imprecise Arguments in Description Logic | Zendy

Ioan Alfred Leţia | Zendy; Adrian Groza | Zendy

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Modelling Imprecise Arguments in Description Logic

Author(s) -

Ioan Alfred Leţia,

Adrian Groza

Publication year - 2009

Publication title -

advances in electrical and computer engineering

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 0.254

H-Index - 23

eISSN - 1844-7600

pISSN - 1582-7445

DOI - 10.4316/aece.2009.03017

Subject(s) - semantic reasoner , argumentative , argumentation theory , computer science , fuzzy logic , interleaving , artificial intelligence , software , programming language , epistemology , philosophy , operating system

Real arguments are a mixture of fuzzy linguistic variables and ontological knowledge. This paper focuses on modelling imprecise arguments in order to obtain a better interleaving of human and software agents argumentation, which might be proved useful for extending the number of real life argumentative-based applications. We propose Fuzzy Description Logic as the adequate technical instrumentation for filling the gap between human arguments and software agents arguments. A proof of concept scenario has been tested with the fuzzyDL reasoner

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