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dc.contributor.author
Moguillansky, Martin Oscar  
dc.date.available
2018-05-28T20:05:46Z  
dc.date.issued
2016-03-02  
dc.identifier.citation
Moguillansky, Martin Oscar; Ontology Reasoning and Evolution with Inconsistency Tolerance: An Argumentative Approach to Revision of Description Logics; IOS Press; AI Communications; 29; 2; 2-3-2016; 405-407  
dc.identifier.issn
0921-7126  
dc.identifier.uri
http://hdl.handle.net/11336/46321  
dc.description.abstract
Reasoning and change over inconsistent ontologies (i-ont(s)) is of utmost relevance in sciences like medicine and law. Argumentation may be an appropriate formalism to cope with both problems: (reasoning) through an argumentation framework (AF) constructed from the i-ont, and (change) by handling the dynamics of its arguments. We propose a new family of abstract AFs referred as generalized (GenAF), due to its ability of adapting to different representation languages. Afterwards, we propose a possible instantiation of the GenAF?s abstract language for arguments to the basic ALC description logic for reasoning over i-onts. For dynamics of arguments, a revision operation modifies the graph of arguments in an AF for provoking the argumentation semantics to accept an argument. Thus, revising an ALC-GenAF would introduce a novel methodology for handling evolution of i-onts. To such end, we propose a revision operation by relying upon classic belief revision theory, although contrary to it, consistency restoration is avoided in order to handle evolution with inconsistency tolerance.  
dc.format
application/pdf  
dc.language.iso
eng  
dc.publisher
IOS Press  
dc.rights
info:eu-repo/semantics/openAccess  
dc.rights.uri
https://creativecommons.org/licenses/by-nc-sa/2.5/ar/  
dc.subject
Belief Revision  
dc.subject
Argumentation  
dc.subject
Knowledge Representation  
dc.subject
Ontology Evolution  
dc.subject
Description Logics  
dc.subject
Inconsistency Tolerance  
dc.subject.classification
Ciencias de la Computación  
dc.subject.classification
Ciencias de la Computación e Información  
dc.subject.classification
CIENCIAS NATURALES Y EXACTAS  
dc.title
Ontology Reasoning and Evolution with Inconsistency Tolerance: An Argumentative Approach to Revision of Description Logics  
dc.type
info:eu-repo/semantics/article  
dc.type
info:ar-repo/semantics/artículo  
dc.type
info:eu-repo/semantics/publishedVersion  
dc.date.updated
2018-05-04T21:07:00Z  
dc.journal.volume
29  
dc.journal.number
2  
dc.journal.pagination
405-407  
dc.journal.pais
Países Bajos  
dc.journal.ciudad
Amsterdam  
dc.description.fil
Fil: Moguillansky, Martin Oscar. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Bahía Blanca; Argentina. Universidad Nacional del Sur. Departamento de Ciencia e Ingeniería de la Computación. Laboratorio de Investigación y Desarrollo en Inteligencia Artificial; Argentina  
dc.journal.title
AI Communications  
dc.relation.alternativeid
info:eu-repo/semantics/altIdentifier/url/http://content.iospress.com/articles/ai-communications/aic662  
dc.relation.alternativeid
info:eu-repo/semantics/altIdentifier/doi/http://dx.doi.org/10.3233/AIC-150662