On the Application of Argument Accrual to Reasoning with Inconsistent Possibilistic Ontologies

Autores
Gómez, Sergio Alejandro
Año de publicación
2016
Idioma
inglés
Tipo de recurso
documento de conferencia
Estado
versión publicada
Descripción
We present an approach for performing instance checking in a suitable subset of possibilistic description logic programming ontologies by using argument accrual. Ontologies are interpreted in possibilistic logic programming under Dung's grounded semantics. We present a reasoning framework with a case study and a Java-based implementation for enacting the proposed approach.
XVII Workshop Agentes y Sistemas Inteligentes (WASI).
Red de Universidades con Carreras en Informática (RedUNCI)
Materia
Ciencias Informáticas
argument accrual
ontology reasoning
inconsistency handling
description logics
Nivel de accesibilidad
acceso abierto
Condiciones de uso
http://creativecommons.org/licenses/by/4.0/
Repositorio
SEDICI (UNLP)
Institución
Universidad Nacional de La Plata
OAI Identificador
oai:sedici.unlp.edu.ar:10915/55725
Acceder
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network_name_str SEDICI (UNLP)
spelling On the Application of Argument Accrual to Reasoning with Inconsistent Possibilistic OntologiesGómez, Sergio AlejandroCiencias Informáticasargument accrualontology reasoninginconsistency handlingdescription logicsWe present an approach for performing instance checking in a suitable subset of possibilistic description logic programming ontologies by using argument accrual. Ontologies are interpreted in possibilistic logic programming under Dung's grounded semantics. We present a reasoning framework with a case study and a Java-based implementation for enacting the proposed approach.XVII Workshop Agentes y Sistemas Inteligentes (WASI).Red de Universidades con Carreras en Informática (RedUNCI)2016-10info:eu-repo/semantics/conferenceObjectinfo:eu-repo/semantics/publishedVersionObjeto de conferenciahttp://purl.org/coar/resource_type/c_5794info:ar-repo/semantics/documentoDeConferenciaapplication/pdf14-23http://sedici.unlp.edu.ar/handle/10915/55725enginfo:eu-repo/semantics/reference/hdl/10915/55718info:eu-repo/semantics/openAccesshttp://creativecommons.org/licenses/by/4.0/Creative Commons Attribution 4.0 International (CC BY 4.0)reponame:SEDICI (UNLP)instname:Universidad Nacional de La Platainstacron:UNLP2025-09-29T11:05:48Zoai:sedici.unlp.edu.ar:10915/55725Institucionalhttp://sedici.unlp.edu.ar/Universidad públicaNo correspondehttp://sedici.unlp.edu.ar/oai/snrdalira@sedici.unlp.edu.arArgentinaNo correspondeNo correspondeNo correspondeopendoar:13292025-09-29 11:05:48.931SEDICI (UNLP) - Universidad Nacional de La Platafalse
dc.title.none.fl_str_mv On the Application of Argument Accrual to Reasoning with Inconsistent Possibilistic Ontologies
title On the Application of Argument Accrual to Reasoning with Inconsistent Possibilistic Ontologies
spellingShingle On the Application of Argument Accrual to Reasoning with Inconsistent Possibilistic Ontologies
Gómez, Sergio Alejandro
Ciencias Informáticas
argument accrual
ontology reasoning
inconsistency handling
description logics
title_short On the Application of Argument Accrual to Reasoning with Inconsistent Possibilistic Ontologies
title_full On the Application of Argument Accrual to Reasoning with Inconsistent Possibilistic Ontologies
title_fullStr On the Application of Argument Accrual to Reasoning with Inconsistent Possibilistic Ontologies
title_full_unstemmed On the Application of Argument Accrual to Reasoning with Inconsistent Possibilistic Ontologies
title_sort On the Application of Argument Accrual to Reasoning with Inconsistent Possibilistic Ontologies
dc.creator.none.fl_str_mv Gómez, Sergio Alejandro
author Gómez, Sergio Alejandro
author_facet Gómez, Sergio Alejandro
author_role author
dc.subject.none.fl_str_mv Ciencias Informáticas
argument accrual
ontology reasoning
inconsistency handling
description logics
topic Ciencias Informáticas
argument accrual
ontology reasoning
inconsistency handling
description logics
dc.description.none.fl_txt_mv We present an approach for performing instance checking in a suitable subset of possibilistic description logic programming ontologies by using argument accrual. Ontologies are interpreted in possibilistic logic programming under Dung's grounded semantics. We present a reasoning framework with a case study and a Java-based implementation for enacting the proposed approach.
XVII Workshop Agentes y Sistemas Inteligentes (WASI).
Red de Universidades con Carreras en Informática (RedUNCI)
description We present an approach for performing instance checking in a suitable subset of possibilistic description logic programming ontologies by using argument accrual. Ontologies are interpreted in possibilistic logic programming under Dung's grounded semantics. We present a reasoning framework with a case study and a Java-based implementation for enacting the proposed approach.
publishDate 2016
dc.date.none.fl_str_mv 2016-10
dc.type.none.fl_str_mv info:eu-repo/semantics/conferenceObject
info:eu-repo/semantics/publishedVersion
Objeto de conferencia
http://purl.org/coar/resource_type/c_5794
info:ar-repo/semantics/documentoDeConferencia
format conferenceObject
status_str publishedVersion
dc.identifier.none.fl_str_mv http://sedici.unlp.edu.ar/handle/10915/55725
url http://sedici.unlp.edu.ar/handle/10915/55725
dc.language.none.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv info:eu-repo/semantics/reference/hdl/10915/55718
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
http://creativecommons.org/licenses/by/4.0/
Creative Commons Attribution 4.0 International (CC BY 4.0)
eu_rights_str_mv openAccess
rights_invalid_str_mv http://creativecommons.org/licenses/by/4.0/
Creative Commons Attribution 4.0 International (CC BY 4.0)
dc.format.none.fl_str_mv application/pdf
14-23
dc.source.none.fl_str_mv reponame:SEDICI (UNLP)
instname:Universidad Nacional de La Plata
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instname_str Universidad Nacional de La Plata
instacron_str UNLP
institution UNLP
repository.name.fl_str_mv SEDICI (UNLP) - Universidad Nacional de La Plata
repository.mail.fl_str_mv alira@sedici.unlp.edu.ar
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score 13.069144

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