Towards a case-based reasoning approach to analyze road accidents

Autores
Ceausu, Valentina; Desprès, Sylvie
Año de publicación
2006
Idioma
inglés
Tipo de recurso
documento de conferencia
Estado
versión publicada
Descripción
In this paper the prototype of a system designed to analyze road accidents is presented. The analysis is carried out in order to recog- nize within accident reports general mechanisms of road accidents that represent prototypes of road accidents. Case Based Reasoning (CBR) is the chosen problem solving paradigm. Natural language documents and semi-structured documents are used to build the cases of our sys- tem, which creates a di±culty. To cope with this di±culty we propose approaches integrating semantic resources. Hence, an ontology of acci- dentology and a terminology of road accidents are used to build cases. The alignment of two resources supports the retrieval process. A data processing model, based on models of accidentology, is proposed to rep- resent the cases of the system. This paper presents the architecture of ACCTOS (ACCident TO Scenarios), a case based reasoning system pro- totype. The model to represent the cases is introduced and the phases of the case based reasoning cycle are detailed.
Applications in Artificial Intelligence - Applications
Red de Universidades con Carreras en Informática (RedUNCI)
Materia
Ciencias Informáticas
road accidents
ACCTOS (ACCident TO Scenarios)
Case Based Reasoning (CBR)
Accidentes de Tránsito
Natural language
Semantics
Prototyping
Nivel de accesibilidad
acceso abierto
Condiciones de uso
http://creativecommons.org/licenses/by-nc-sa/2.5/ar/
Repositorio
SEDICI (UNLP)
Institución
Universidad Nacional de La Plata
OAI Identificador
oai:sedici.unlp.edu.ar:10915/24230
Acceder
id SEDICI_19c38291d0877e2f58a093afe99ba1d5
oai_identifier_str oai:sedici.unlp.edu.ar:10915/24230
network_acronym_str SEDICI
repository_id_str 1329
network_name_str SEDICI (UNLP)
spelling Towards a case-based reasoning approach to analyze road accidentsCeausu, ValentinaDesprès, SylvieCiencias Informáticasroad accidentsACCTOS (ACCident TO Scenarios)Case Based Reasoning (CBR)Accidentes de TránsitoNatural languageSemanticsPrototypingIn this paper the prototype of a system designed to analyze road accidents is presented. The analysis is carried out in order to recog- nize within accident reports general mechanisms of road accidents that represent prototypes of road accidents. Case Based Reasoning (CBR) is the chosen problem solving paradigm. Natural language documents and semi-structured documents are used to build the cases of our sys- tem, which creates a di±culty. To cope with this di±culty we propose approaches integrating semantic resources. Hence, an ontology of acci- dentology and a terminology of road accidents are used to build cases. The alignment of two resources supports the retrieval process. A data processing model, based on models of accidentology, is proposed to rep- resent the cases of the system. This paper presents the architecture of ACCTOS (ACCident TO Scenarios), a case based reasoning system pro- totype. The model to represent the cases is introduced and the phases of the case based reasoning cycle are detailed.Applications in Artificial Intelligence - ApplicationsRed de Universidades con Carreras en Informática (RedUNCI)2006-08info:eu-repo/semantics/conferenceObjectinfo:eu-repo/semantics/publishedVersionObjeto de conferenciahttp://purl.org/coar/resource_type/c_5794info:ar-repo/semantics/documentoDeConferenciaapplication/pdfhttp://sedici.unlp.edu.ar/handle/10915/24230enginfo:eu-repo/semantics/altIdentifier/isbn/0-387-34655-4info:eu-repo/semantics/openAccesshttp://creativecommons.org/licenses/by-nc-sa/2.5/ar/Creative Commons Attribution-NonCommercial-ShareAlike 2.5 Argentina (CC BY-NC-SA 2.5)reponame:SEDICI (UNLP)instname:Universidad Nacional de La Platainstacron:UNLP2025-10-15T10:48:23Zoai:sedici.unlp.edu.ar:10915/24230Institucionalhttp://sedici.unlp.edu.ar/Universidad públicaNo correspondehttp://sedici.unlp.edu.ar/oai/snrdalira@sedici.unlp.edu.arArgentinaNo correspondeNo correspondeNo correspondeopendoar:13292025-10-15 10:48:24.271SEDICI (UNLP) - Universidad Nacional de La Platafalse
dc.title.none.fl_str_mv Towards a case-based reasoning approach to analyze road accidents
title Towards a case-based reasoning approach to analyze road accidents
spellingShingle Towards a case-based reasoning approach to analyze road accidents
Ceausu, Valentina
Ciencias Informáticas
road accidents
ACCTOS (ACCident TO Scenarios)
Case Based Reasoning (CBR)
Accidentes de Tránsito
Natural language
Semantics
Prototyping
title_short Towards a case-based reasoning approach to analyze road accidents
title_full Towards a case-based reasoning approach to analyze road accidents
title_fullStr Towards a case-based reasoning approach to analyze road accidents
title_full_unstemmed Towards a case-based reasoning approach to analyze road accidents
title_sort Towards a case-based reasoning approach to analyze road accidents
dc.creator.none.fl_str_mv Ceausu, Valentina
Desprès, Sylvie
author Ceausu, Valentina
author_facet Ceausu, Valentina
Desprès, Sylvie
author_role author
author2 Desprès, Sylvie
author2_role author
dc.subject.none.fl_str_mv Ciencias Informáticas
road accidents
ACCTOS (ACCident TO Scenarios)
Case Based Reasoning (CBR)
Accidentes de Tránsito
Natural language
Semantics
Prototyping
topic Ciencias Informáticas
road accidents
ACCTOS (ACCident TO Scenarios)
Case Based Reasoning (CBR)
Accidentes de Tránsito
Natural language
Semantics
Prototyping
dc.description.none.fl_txt_mv In this paper the prototype of a system designed to analyze road accidents is presented. The analysis is carried out in order to recog- nize within accident reports general mechanisms of road accidents that represent prototypes of road accidents. Case Based Reasoning (CBR) is the chosen problem solving paradigm. Natural language documents and semi-structured documents are used to build the cases of our sys- tem, which creates a di±culty. To cope with this di±culty we propose approaches integrating semantic resources. Hence, an ontology of acci- dentology and a terminology of road accidents are used to build cases. The alignment of two resources supports the retrieval process. A data processing model, based on models of accidentology, is proposed to rep- resent the cases of the system. This paper presents the architecture of ACCTOS (ACCident TO Scenarios), a case based reasoning system pro- totype. The model to represent the cases is introduced and the phases of the case based reasoning cycle are detailed.
Applications in Artificial Intelligence - Applications
Red de Universidades con Carreras en Informática (RedUNCI)
description In this paper the prototype of a system designed to analyze road accidents is presented. The analysis is carried out in order to recog- nize within accident reports general mechanisms of road accidents that represent prototypes of road accidents. Case Based Reasoning (CBR) is the chosen problem solving paradigm. Natural language documents and semi-structured documents are used to build the cases of our sys- tem, which creates a di±culty. To cope with this di±culty we propose approaches integrating semantic resources. Hence, an ontology of acci- dentology and a terminology of road accidents are used to build cases. The alignment of two resources supports the retrieval process. A data processing model, based on models of accidentology, is proposed to rep- resent the cases of the system. This paper presents the architecture of ACCTOS (ACCident TO Scenarios), a case based reasoning system pro- totype. The model to represent the cases is introduced and the phases of the case based reasoning cycle are detailed.
publishDate 2006
dc.date.none.fl_str_mv 2006-08
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/10915/24230
url http://sedici.unlp.edu.ar/handle/10915/24230
dc.language.none.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv info:eu-repo/semantics/altIdentifier/isbn/0-387-34655-4
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
http://creativecommons.org/licenses/by-nc-sa/2.5/ar/
Creative Commons Attribution-NonCommercial-ShareAlike 2.5 Argentina (CC BY-NC-SA 2.5)
eu_rights_str_mv openAccess
rights_invalid_str_mv http://creativecommons.org/licenses/by-nc-sa/2.5/ar/
Creative Commons Attribution-NonCommercial-ShareAlike 2.5 Argentina (CC BY-NC-SA 2.5)
dc.format.none.fl_str_mv application/pdf
dc.source.none.fl_str_mv reponame:SEDICI (UNLP)
instname:Universidad Nacional de La Plata
instacron:UNLP
reponame_str SEDICI (UNLP)
collection SEDICI (UNLP)
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
_version_ 1846063911777861632
score 13.22299

Publicaciones similares