Fully Informed Classification Systems - Simpler, Maybe Better
Autor(a) principal: | |
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Data de Publicação: | 2019 |
Outros Autores: | , , , , , , , |
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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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 |
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Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação |
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RCAAP |
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RCAAP |
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Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
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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 |
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1799136648823308288 |