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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
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