Modelling Imprecise Arguments in Description Logic
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 argumentat...
Main Authors: | , |
---|---|
Format: | Article |
Language: | English |
Published: |
Stefan cel Mare University of Suceava
2009-10-01
|
Series: | Advances in Electrical and Computer Engineering |
Subjects: | |
Online Access: | http://dx.doi.org/10.4316/AECE.2009.03017 |
_version_ | 1828555128115822592 |
---|---|
author | LETIA, I. A. GROZA, A. |
author_facet | LETIA, I. A. GROZA, A. |
author_sort | LETIA, I. A. |
collection | DOAJ |
description | 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. |
first_indexed | 2024-12-12T05:47:57Z |
format | Article |
id | doaj.art-177128505dd84ffba997ed43897b875d |
institution | Directory Open Access Journal |
issn | 1582-7445 1844-7600 |
language | English |
last_indexed | 2024-12-12T05:47:57Z |
publishDate | 2009-10-01 |
publisher | Stefan cel Mare University of Suceava |
record_format | Article |
series | Advances in Electrical and Computer Engineering |
spelling | doaj.art-177128505dd84ffba997ed43897b875d2022-12-22T00:35:44ZengStefan cel Mare University of SuceavaAdvances in Electrical and Computer Engineering1582-74451844-76002009-10-01939499Modelling Imprecise Arguments in Description LogicLETIA, I. A.GROZA, A.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.http://dx.doi.org/10.4316/AECE.2009.03017semi-structured argumentationdescription logicfuzzy logic |
spellingShingle | LETIA, I. A. GROZA, A. Modelling Imprecise Arguments in Description Logic Advances in Electrical and Computer Engineering semi-structured argumentation description logic fuzzy logic |
title | Modelling Imprecise Arguments in Description Logic |
title_full | Modelling Imprecise Arguments in Description Logic |
title_fullStr | Modelling Imprecise Arguments in Description Logic |
title_full_unstemmed | Modelling Imprecise Arguments in Description Logic |
title_short | Modelling Imprecise Arguments in Description Logic |
title_sort | modelling imprecise arguments in description logic |
topic | semi-structured argumentation description logic fuzzy logic |
url | http://dx.doi.org/10.4316/AECE.2009.03017 |
work_keys_str_mv | AT letiaia modellingimpreciseargumentsindescriptionlogic AT grozaa modellingimpreciseargumentsindescriptionlogic |