Improving Inconsistency Resolution by Considering Global Conflicts
- Autores
- Deagustini, Cristhian Ariel David; Martinez, Maria Vanina; Falappa, Marcelo Alejandro; Simari, Guillermo Ricardo
- Año de publicación
- 2014
- Idioma
- inglés
- Tipo de recurso
- artículo
- Estado
- versión publicada
- Descripción
- Over the years, inconsistency management has caught the attention of researchers of different areas. Inconsistency is a problem that arises in many different scenarios, for instance, ontology development or knowledge integration. In such settings, it is important to have adequate automatic tools for handling potential conflicts. Here we propose a novel approach to belief base consolidation based on a refinement of kernel contraction that accounts for the relation among kernels using clusters. We define cluster contraction based consolidation operators as the contraction by falsum on a belief base using cluster incision functions, a refinement of (smooth) kernel incision functions. A cluster contraction-based approach to belief bases consolidation can successfully obtain a belief base satisfying the expected consistency requirement. Also, we show that the application of cluster contraction-based consolidation operators satisfy minimality regarding loss of information and are equivalent to operators based on maxichoice contraction.
Fil: Deagustini, Cristhian Ariel David. Universidad Nacional del Sur. Departamento de Ciencia e Ingeniería de la Computación. Laboratorio de Investigación y Desarrollo en Inteligencia Artificial; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina
Fil: Martinez, Maria Vanina. University of Oxford; Reino Unido
Fil: Falappa, Marcelo Alejandro. Universidad Nacional del Sur. Departamento de Ciencia e Ingeniería de la Computación. Laboratorio de Investigación y Desarrollo en Inteligencia Artificial; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina
Fil: Simari, Guillermo Ricardo. Universidad Nacional del Sur. Departamento de Ciencia e Ingeniería de la Computación. Laboratorio de Investigación y Desarrollo en Inteligencia Artificial; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina - Materia
-
Inconsistency Management
Belief Consolidation
Minimal Loss of Information - Nivel de accesibilidad
- acceso abierto
- Condiciones de uso
- https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
- Repositorio
- Institución
- Consejo Nacional de Investigaciones Científicas y Técnicas
- OAI Identificador
- oai:ri.conicet.gov.ar:11336/12630
Ver los metadatos del registro completo
id |
CONICETDig_a1fbd9043ca1864e5acf8b62b01659db |
---|---|
oai_identifier_str |
oai:ri.conicet.gov.ar:11336/12630 |
network_acronym_str |
CONICETDig |
repository_id_str |
3498 |
network_name_str |
CONICET Digital (CONICET) |
spelling |
Improving Inconsistency Resolution by Considering Global ConflictsDeagustini, Cristhian Ariel DavidMartinez, Maria VaninaFalappa, Marcelo AlejandroSimari, Guillermo RicardoInconsistency ManagementBelief ConsolidationMinimal Loss of Informationhttps://purl.org/becyt/ford/1.2https://purl.org/becyt/ford/1Over the years, inconsistency management has caught the attention of researchers of different areas. Inconsistency is a problem that arises in many different scenarios, for instance, ontology development or knowledge integration. In such settings, it is important to have adequate automatic tools for handling potential conflicts. Here we propose a novel approach to belief base consolidation based on a refinement of kernel contraction that accounts for the relation among kernels using clusters. We define cluster contraction based consolidation operators as the contraction by falsum on a belief base using cluster incision functions, a refinement of (smooth) kernel incision functions. A cluster contraction-based approach to belief bases consolidation can successfully obtain a belief base satisfying the expected consistency requirement. Also, we show that the application of cluster contraction-based consolidation operators satisfy minimality regarding loss of information and are equivalent to operators based on maxichoice contraction.Fil: Deagustini, Cristhian Ariel David. Universidad Nacional del Sur. Departamento de Ciencia e Ingeniería de la Computación. Laboratorio de Investigación y Desarrollo en Inteligencia Artificial; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; ArgentinaFil: Martinez, Maria Vanina. University of Oxford; Reino UnidoFil: Falappa, Marcelo Alejandro. Universidad Nacional del Sur. Departamento de Ciencia e Ingeniería de la Computación. Laboratorio de Investigación y Desarrollo en Inteligencia Artificial; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; ArgentinaFil: Simari, Guillermo Ricardo. Universidad Nacional del Sur. Departamento de Ciencia e Ingeniería de la Computación. Laboratorio de Investigación y Desarrollo en Inteligencia Artificial; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; ArgentinaSpringer2014-07info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionhttp://purl.org/coar/resource_type/c_6501info:ar-repo/semantics/articuloapplication/pdfapplication/pdfhttp://hdl.handle.net/11336/12630Deagustini, Cristhian Ariel David; Martinez, Maria Vanina; Falappa, Marcelo Alejandro; Simari, Guillermo Ricardo; Improving Inconsistency Resolution by Considering Global Conflicts; Springer; Lecture Notes In Computer Science; 8720; 7-2014; 120-1330302-9743enginfo:eu-repo/semantics/altIdentifier/url/http://link.springer.com/chapter/10.1007/978-3-319-11508-5_11info:eu-repo/semantics/altIdentifier/doi/10.1007/978-3-319-11508-5_11info:eu-repo/semantics/openAccesshttps://creativecommons.org/licenses/by-nc-sa/2.5/ar/reponame:CONICET Digital (CONICET)instname:Consejo Nacional de Investigaciones Científicas y Técnicas2025-09-29T09:43:30Zoai:ri.conicet.gov.ar:11336/12630instacron:CONICETInstitucionalhttp://ri.conicet.gov.ar/Organismo científico-tecnológicoNo correspondehttp://ri.conicet.gov.ar/oai/requestdasensio@conicet.gov.ar; lcarlino@conicet.gov.arArgentinaNo correspondeNo correspondeNo correspondeopendoar:34982025-09-29 09:43:30.974CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicasfalse |
dc.title.none.fl_str_mv |
Improving Inconsistency Resolution by Considering Global Conflicts |
title |
Improving Inconsistency Resolution by Considering Global Conflicts |
spellingShingle |
Improving Inconsistency Resolution by Considering Global Conflicts Deagustini, Cristhian Ariel David Inconsistency Management Belief Consolidation Minimal Loss of Information |
title_short |
Improving Inconsistency Resolution by Considering Global Conflicts |
title_full |
Improving Inconsistency Resolution by Considering Global Conflicts |
title_fullStr |
Improving Inconsistency Resolution by Considering Global Conflicts |
title_full_unstemmed |
Improving Inconsistency Resolution by Considering Global Conflicts |
title_sort |
Improving Inconsistency Resolution by Considering Global Conflicts |
dc.creator.none.fl_str_mv |
Deagustini, Cristhian Ariel David Martinez, Maria Vanina Falappa, Marcelo Alejandro Simari, Guillermo Ricardo |
author |
Deagustini, Cristhian Ariel David |
author_facet |
Deagustini, Cristhian Ariel David Martinez, Maria Vanina Falappa, Marcelo Alejandro Simari, Guillermo Ricardo |
author_role |
author |
author2 |
Martinez, Maria Vanina Falappa, Marcelo Alejandro Simari, Guillermo Ricardo |
author2_role |
author author author |
dc.subject.none.fl_str_mv |
Inconsistency Management Belief Consolidation Minimal Loss of Information |
topic |
Inconsistency Management Belief Consolidation Minimal Loss of Information |
purl_subject.fl_str_mv |
https://purl.org/becyt/ford/1.2 https://purl.org/becyt/ford/1 |
dc.description.none.fl_txt_mv |
Over the years, inconsistency management has caught the attention of researchers of different areas. Inconsistency is a problem that arises in many different scenarios, for instance, ontology development or knowledge integration. In such settings, it is important to have adequate automatic tools for handling potential conflicts. Here we propose a novel approach to belief base consolidation based on a refinement of kernel contraction that accounts for the relation among kernels using clusters. We define cluster contraction based consolidation operators as the contraction by falsum on a belief base using cluster incision functions, a refinement of (smooth) kernel incision functions. A cluster contraction-based approach to belief bases consolidation can successfully obtain a belief base satisfying the expected consistency requirement. Also, we show that the application of cluster contraction-based consolidation operators satisfy minimality regarding loss of information and are equivalent to operators based on maxichoice contraction. Fil: Deagustini, Cristhian Ariel David. Universidad Nacional del Sur. Departamento de Ciencia e Ingeniería de la Computación. Laboratorio de Investigación y Desarrollo en Inteligencia Artificial; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina Fil: Martinez, Maria Vanina. University of Oxford; Reino Unido Fil: Falappa, Marcelo Alejandro. Universidad Nacional del Sur. Departamento de Ciencia e Ingeniería de la Computación. Laboratorio de Investigación y Desarrollo en Inteligencia Artificial; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina Fil: Simari, Guillermo Ricardo. Universidad Nacional del Sur. Departamento de Ciencia e Ingeniería de la Computación. Laboratorio de Investigación y Desarrollo en Inteligencia Artificial; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina |
description |
Over the years, inconsistency management has caught the attention of researchers of different areas. Inconsistency is a problem that arises in many different scenarios, for instance, ontology development or knowledge integration. In such settings, it is important to have adequate automatic tools for handling potential conflicts. Here we propose a novel approach to belief base consolidation based on a refinement of kernel contraction that accounts for the relation among kernels using clusters. We define cluster contraction based consolidation operators as the contraction by falsum on a belief base using cluster incision functions, a refinement of (smooth) kernel incision functions. A cluster contraction-based approach to belief bases consolidation can successfully obtain a belief base satisfying the expected consistency requirement. Also, we show that the application of cluster contraction-based consolidation operators satisfy minimality regarding loss of information and are equivalent to operators based on maxichoice contraction. |
publishDate |
2014 |
dc.date.none.fl_str_mv |
2014-07 |
dc.type.none.fl_str_mv |
info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion http://purl.org/coar/resource_type/c_6501 info:ar-repo/semantics/articulo |
format |
article |
status_str |
publishedVersion |
dc.identifier.none.fl_str_mv |
http://hdl.handle.net/11336/12630 Deagustini, Cristhian Ariel David; Martinez, Maria Vanina; Falappa, Marcelo Alejandro; Simari, Guillermo Ricardo; Improving Inconsistency Resolution by Considering Global Conflicts; Springer; Lecture Notes In Computer Science; 8720; 7-2014; 120-133 0302-9743 |
url |
http://hdl.handle.net/11336/12630 |
identifier_str_mv |
Deagustini, Cristhian Ariel David; Martinez, Maria Vanina; Falappa, Marcelo Alejandro; Simari, Guillermo Ricardo; Improving Inconsistency Resolution by Considering Global Conflicts; Springer; Lecture Notes In Computer Science; 8720; 7-2014; 120-133 0302-9743 |
dc.language.none.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
info:eu-repo/semantics/altIdentifier/url/http://link.springer.com/chapter/10.1007/978-3-319-11508-5_11 info:eu-repo/semantics/altIdentifier/doi/10.1007/978-3-319-11508-5_11 |
dc.rights.none.fl_str_mv |
info:eu-repo/semantics/openAccess https://creativecommons.org/licenses/by-nc-sa/2.5/ar/ |
eu_rights_str_mv |
openAccess |
rights_invalid_str_mv |
https://creativecommons.org/licenses/by-nc-sa/2.5/ar/ |
dc.format.none.fl_str_mv |
application/pdf application/pdf |
dc.publisher.none.fl_str_mv |
Springer |
publisher.none.fl_str_mv |
Springer |
dc.source.none.fl_str_mv |
reponame:CONICET Digital (CONICET) instname:Consejo Nacional de Investigaciones Científicas y Técnicas |
reponame_str |
CONICET Digital (CONICET) |
collection |
CONICET Digital (CONICET) |
instname_str |
Consejo Nacional de Investigaciones Científicas y Técnicas |
repository.name.fl_str_mv |
CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicas |
repository.mail.fl_str_mv |
dasensio@conicet.gov.ar; lcarlino@conicet.gov.ar |
_version_ |
1844613369177309184 |
score |
13.070432 |