A framework for enterprise context analysis based on semantic principles

Detalhes bibliográficos
Autor(a) principal: Ferro-Beça, Miguel de
Data de Publicação: 2015
Outros Autores: Sarraipa, João, Agostinho, Carlos, Gigante, Fernando, Jose-Nunez, Maria, Jardim-Goncalves, Ricardo
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
Texto Completo: https://doi.org/10.2298/CSIS150105037F
Resumo: The authors wish to acknowledge the European Commission for their support in funding this work through Projects IMAGINE: Innovative End-to-end Management of Dynamic Manufacturing Networks (No. 285132), and FITMAN - Future Internet Technologies for MANufacturing industries (No. 604674).
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spelling A framework for enterprise context analysis based on semantic principlesBlueprintsLinked dataSemanticSensing enterpriseComputer Science(all)The authors wish to acknowledge the European Commission for their support in funding this work through Projects IMAGINE: Innovative End-to-end Management of Dynamic Manufacturing Networks (No. 285132), and FITMAN - Future Internet Technologies for MANufacturing industries (No. 604674).Context analysis can be a daunting task given the vast amounts of information available and the work required to filter through all of it. Additionally, the process of performing context analysis on a specific company, although it may be done following a specific methodology, it is not a science which set in stone. Different approaches are possible, and the availability of new data sources, ranging from sensor data to web analytics data, can certainly enrich the process. However, there is a need for tools and methods, which can assist in tapping into these new data sources and extract relevant information that can assist enterprises in their context analysis process. The present paper proposes a framework that can assist in obtaining, filtering and processing relevant data from a variety of sources and in performing the necessary processing and reasoning to assist in performing a proper context analysis.CTS - Centro de Tecnologia e SistemasUNINOVA-Instituto de Desenvolvimento de Novas TecnologiasRUNFerro-Beça, Miguel deSarraipa, JoãoAgostinho, CarlosGigante, FernandoJose-Nunez, MariaJardim-Goncalves, Ricardo2018-05-08T22:04:51Z2015-08-012015-08-01T00:00:00Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/article30application/pdfhttps://doi.org/10.2298/CSIS150105037Feng1820-0214PURE: 1687602http://www.scopus.com/inward/record.url?scp=84940032667&partnerID=8YFLogxKhttps://doi.org/10.2298/CSIS150105037Finfo: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:RCAAP2024-03-11T04:19:37Zoai:run.unl.pt:10362/36227Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-20T03:30:24.951844Repositório 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 A framework for enterprise context analysis based on semantic principles
title A framework for enterprise context analysis based on semantic principles
spellingShingle A framework for enterprise context analysis based on semantic principles
Ferro-Beça, Miguel de
Blueprints
Linked data
Semantic
Sensing enterprise
Computer Science(all)
title_short A framework for enterprise context analysis based on semantic principles
title_full A framework for enterprise context analysis based on semantic principles
title_fullStr A framework for enterprise context analysis based on semantic principles
title_full_unstemmed A framework for enterprise context analysis based on semantic principles
title_sort A framework for enterprise context analysis based on semantic principles
author Ferro-Beça, Miguel de
author_facet Ferro-Beça, Miguel de
Sarraipa, João
Agostinho, Carlos
Gigante, Fernando
Jose-Nunez, Maria
Jardim-Goncalves, Ricardo
author_role author
author2 Sarraipa, João
Agostinho, Carlos
Gigante, Fernando
Jose-Nunez, Maria
Jardim-Goncalves, Ricardo
author2_role author
author
author
author
author
dc.contributor.none.fl_str_mv CTS - Centro de Tecnologia e Sistemas
UNINOVA-Instituto de Desenvolvimento de Novas Tecnologias
RUN
dc.contributor.author.fl_str_mv Ferro-Beça, Miguel de
Sarraipa, João
Agostinho, Carlos
Gigante, Fernando
Jose-Nunez, Maria
Jardim-Goncalves, Ricardo
dc.subject.por.fl_str_mv Blueprints
Linked data
Semantic
Sensing enterprise
Computer Science(all)
topic Blueprints
Linked data
Semantic
Sensing enterprise
Computer Science(all)
description The authors wish to acknowledge the European Commission for their support in funding this work through Projects IMAGINE: Innovative End-to-end Management of Dynamic Manufacturing Networks (No. 285132), and FITMAN - Future Internet Technologies for MANufacturing industries (No. 604674).
publishDate 2015
dc.date.none.fl_str_mv 2015-08-01
2015-08-01T00:00:00Z
2018-05-08T22:04:51Z
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 https://doi.org/10.2298/CSIS150105037F
url https://doi.org/10.2298/CSIS150105037F
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv 1820-0214
PURE: 1687602
http://www.scopus.com/inward/record.url?scp=84940032667&partnerID=8YFLogxK
https://doi.org/10.2298/CSIS150105037F
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eu_rights_str_mv openAccess
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