Fully Informed Classification Systems - Simpler, Maybe Better

Detalhes bibliográficos
Autor(a) principal: Fernandes, Ana
Data de Publicação: 2019
Outros Autores: Carvalho, Filomena, Ribeiro, Jorge, Vicente, Dinis, Faria, João, Figueiredo, Margarida, Capita, António, Neves, José, Vicente, Henrique
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
Texto Completo: http://hdl.handle.net/10174/26346
https://doi.org/10.1007/978-3-030-37858-5_1
Resumo: This paper presents the starting point to adverse event reporting and learning systems designed to describe and prevent unfavorable happenings in Public Services organizations. To achieve this goal, the Eindhoven’s Classification Method was changed to house such incidents. On the other hand, the evolutionary process of the knowledge body of such systems is to be understood as a process of energy devaluation, i.e., their data/information/knowledge will be represented and handled as pure energy transactions, being such procedures and the respective outcomes object of formal proof under a Proof Theoretical approach to Problem Solving.
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spelling Fully Informed Classification Systems - Simpler, Maybe BetterPublic ServicesEindhoven Classification MethodKnowledge Representation and ReasoningLogic ProgrammingEntropyThis paper presents the starting point to adverse event reporting and learning systems designed to describe and prevent unfavorable happenings in Public Services organizations. To achieve this goal, the Eindhoven’s Classification Method was changed to house such incidents. On the other hand, the evolutionary process of the knowledge body of such systems is to be understood as a process of energy devaluation, i.e., their data/information/knowledge will be represented and handled as pure energy transactions, being such procedures and the respective outcomes object of formal proof under a Proof Theoretical approach to Problem Solving.Springer2020-01-09T12:07:22Z2020-01-092019-01-01T00:00:00Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articlehttp://hdl.handle.net/10174/26346http://hdl.handle.net/10174/26346https://doi.org/10.1007/978-3-030-37858-5_1engFernandes, A., Carvalho, F., Ribeiro, J., Vicente, D., Faria, J., Figueiredo, M., Capita, A., Neves J. & Vicente., H., Fully Informed Classification Systems - Simpler, Maybe Better. Communications in Computer and Information Science, 1038, 3–16, 2019.1865-0929 (paper)1865-0937 (electronic)CQE; CIEPanavilafernandes@gmail.comfilomena.carvalho@ipleiria.ptjribeiro@estg.ipvc.ptdinisvicente98@gmail.comjoaocfaria10@gmail.commtf@uevora.ptantoniojorgecapita@gmail.comjneves@di.uminho.pthvicente@uevora.ptFernandes, AnaCarvalho, FilomenaRibeiro, JorgeVicente, DinisFaria, JoãoFigueiredo, MargaridaCapita, AntónioNeves, JoséVicente, Henriqueinfo:eu-repo/semantics/openAccessreponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãoinstacron:RCAAP2024-01-03T19:20:58Zoai:dspace.uevora.pt:10174/26346Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-20T01:16:39.295891Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãofalse
dc.title.none.fl_str_mv Fully Informed Classification Systems - Simpler, Maybe Better
title Fully Informed Classification Systems - Simpler, Maybe Better
spellingShingle Fully Informed Classification Systems - Simpler, Maybe Better
Fernandes, Ana
Public Services
Eindhoven Classification Method
Knowledge Representation and Reasoning
Logic Programming
Entropy
title_short Fully Informed Classification Systems - Simpler, Maybe Better
title_full Fully Informed Classification Systems - Simpler, Maybe Better
title_fullStr Fully Informed Classification Systems - Simpler, Maybe Better
title_full_unstemmed Fully Informed Classification Systems - Simpler, Maybe Better
title_sort Fully Informed Classification Systems - Simpler, Maybe Better
author Fernandes, Ana
author_facet Fernandes, Ana
Carvalho, Filomena
Ribeiro, Jorge
Vicente, Dinis
Faria, João
Figueiredo, Margarida
Capita, António
Neves, José
Vicente, Henrique
author_role author
author2 Carvalho, Filomena
Ribeiro, Jorge
Vicente, Dinis
Faria, João
Figueiredo, Margarida
Capita, António
Neves, José
Vicente, Henrique
author2_role author
author
author
author
author
author
author
author
dc.contributor.author.fl_str_mv Fernandes, Ana
Carvalho, Filomena
Ribeiro, Jorge
Vicente, Dinis
Faria, João
Figueiredo, Margarida
Capita, António
Neves, José
Vicente, Henrique
dc.subject.por.fl_str_mv Public Services
Eindhoven Classification Method
Knowledge Representation and Reasoning
Logic Programming
Entropy
topic Public Services
Eindhoven Classification Method
Knowledge Representation and Reasoning
Logic Programming
Entropy
description This paper presents the starting point to adverse event reporting and learning systems designed to describe and prevent unfavorable happenings in Public Services organizations. To achieve this goal, the Eindhoven’s Classification Method was changed to house such incidents. On the other hand, the evolutionary process of the knowledge body of such systems is to be understood as a process of energy devaluation, i.e., their data/information/knowledge will be represented and handled as pure energy transactions, being such procedures and the respective outcomes object of formal proof under a Proof Theoretical approach to Problem Solving.
publishDate 2019
dc.date.none.fl_str_mv 2019-01-01T00:00:00Z
2020-01-09T12:07:22Z
2020-01-09
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
format article
status_str publishedVersion
dc.identifier.uri.fl_str_mv http://hdl.handle.net/10174/26346
http://hdl.handle.net/10174/26346
https://doi.org/10.1007/978-3-030-37858-5_1
url http://hdl.handle.net/10174/26346
https://doi.org/10.1007/978-3-030-37858-5_1
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv Fernandes, A., Carvalho, F., Ribeiro, J., Vicente, D., Faria, J., Figueiredo, M., Capita, A., Neves J. & Vicente., H., Fully Informed Classification Systems - Simpler, Maybe Better. Communications in Computer and Information Science, 1038, 3–16, 2019.
1865-0929 (paper)
1865-0937 (electronic)
CQE; CIEP
anavilafernandes@gmail.com
filomena.carvalho@ipleiria.pt
jribeiro@estg.ipvc.pt
dinisvicente98@gmail.com
joaocfaria10@gmail.com
mtf@uevora.pt
antoniojorgecapita@gmail.com
jneves@di.uminho.pt
hvicente@uevora.pt
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.publisher.none.fl_str_mv Springer
publisher.none.fl_str_mv Springer
dc.source.none.fl_str_mv reponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação
instacron:RCAAP
instname_str Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação
instacron_str RCAAP
institution RCAAP
reponame_str Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
collection Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
repository.name.fl_str_mv Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação
repository.mail.fl_str_mv
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