Enterprise Intelligence based on Ontology Metadata

Detalhes bibliográficos
Autor(a) principal: Guimarães, Francisco
Data de Publicação: 2015
Outros Autores: Caldeira, Carlos, Quaresma, Paulo
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
Texto Completo: http://hdl.handle.net/10174/17225
Resumo: Organizations define business models as part of its strategic thinking from which build performance evaluation structures focused on the effectiveness and efficiency of their goals. Usually the business model is captured in various organization representations with little interoperability between them. On the other hand, the performance are evaluated using business intelligence systems. Despite the usage of metadata in business intelligence and organization representation model system, metadata are normally not reused for the purpose of ensuring business concepts alignment. This article consolidates a vision of organizational metadata from various forms of representation of the business model, but implemented as ontology to support an organizational intelligence.
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spelling Enterprise Intelligence based on Ontology MetadataBusiness ModelBusiness IntelligenceEnterprise ArchitectureMetadataOntologyData LineageOntology LearningKnowledge ManagementOrganizations define business models as part of its strategic thinking from which build performance evaluation structures focused on the effectiveness and efficiency of their goals. Usually the business model is captured in various organization representations with little interoperability between them. On the other hand, the performance are evaluated using business intelligence systems. Despite the usage of metadata in business intelligence and organization representation model system, metadata are normally not reused for the purpose of ensuring business concepts alignment. This article consolidates a vision of organizational metadata from various forms of representation of the business model, but implemented as ontology to support an organizational intelligence.2016-02-02T17:13:52Z2016-02-022015-01-01T00:00:00Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articlehttp://hdl.handle.net/10174/17225http://hdl.handle.net/10174/17225eng159-166978-84-606-8792-4francisco.santana.guimaraes@gmail.comczcaldeira@gmail.compq@di.uevora.ptDCTI 2015 Actas del Doctoral Consortium en Tecnolog as Inform aticas283Guimarães, FranciscoCaldeira, CarlosQuaresma, Pauloinfo: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:RCAAP2024-01-03T19:04:37Zoai:dspace.uevora.pt:10174/17225Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-20T01:09:27.162938Repositório 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 Enterprise Intelligence based on Ontology Metadata
title Enterprise Intelligence based on Ontology Metadata
spellingShingle Enterprise Intelligence based on Ontology Metadata
Guimarães, Francisco
Business Model
Business Intelligence
Enterprise Architecture
Metadata
Ontology
Data Lineage
Ontology Learning
Knowledge Management
title_short Enterprise Intelligence based on Ontology Metadata
title_full Enterprise Intelligence based on Ontology Metadata
title_fullStr Enterprise Intelligence based on Ontology Metadata
title_full_unstemmed Enterprise Intelligence based on Ontology Metadata
title_sort Enterprise Intelligence based on Ontology Metadata
author Guimarães, Francisco
author_facet Guimarães, Francisco
Caldeira, Carlos
Quaresma, Paulo
author_role author
author2 Caldeira, Carlos
Quaresma, Paulo
author2_role author
author
dc.contributor.author.fl_str_mv Guimarães, Francisco
Caldeira, Carlos
Quaresma, Paulo
dc.subject.por.fl_str_mv Business Model
Business Intelligence
Enterprise Architecture
Metadata
Ontology
Data Lineage
Ontology Learning
Knowledge Management
topic Business Model
Business Intelligence
Enterprise Architecture
Metadata
Ontology
Data Lineage
Ontology Learning
Knowledge Management
description Organizations define business models as part of its strategic thinking from which build performance evaluation structures focused on the effectiveness and efficiency of their goals. Usually the business model is captured in various organization representations with little interoperability between them. On the other hand, the performance are evaluated using business intelligence systems. Despite the usage of metadata in business intelligence and organization representation model system, metadata are normally not reused for the purpose of ensuring business concepts alignment. This article consolidates a vision of organizational metadata from various forms of representation of the business model, but implemented as ontology to support an organizational intelligence.
publishDate 2015
dc.date.none.fl_str_mv 2015-01-01T00:00:00Z
2016-02-02T17:13:52Z
2016-02-02
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/10174/17225
http://hdl.handle.net/10174/17225
url http://hdl.handle.net/10174/17225
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv 159-166
978-84-606-8792-4
francisco.santana.guimaraes@gmail.com
czcaldeira@gmail.com
pq@di.uevora.pt
DCTI 2015 Actas del Doctoral Consortium en Tecnolog as Inform aticas
283
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.source.none.fl_str_mv reponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
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instacron:RCAAP
instname_str Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação
instacron_str RCAAP
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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
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