Mercury: using the QuPreSS reference model to evaluate predictive services

Nowadays, lots of service providers offer predictive services that show in advance a condition or occurrence about the future. As a consequence, it becomes necessary for service customers to select the predictive service that best satisfies their needs. The QuPreSS reference model provides a standar...

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Detalles Bibliográficos
Autores: Martínez Fernández, Silverio Juan|||0000-0001-9928-133X, Franch Gutiérrez, Javier|||0000-0001-9733-8830, Bisbal, Jesus
Tipo de recurso: artículo
Fecha de publicación:2017
País:España
Institución:Universitat Politècnica de Catalunya (UPC)
Repositorio:UPCommons. Portal del coneixement obert de la UPC
Idioma:inglés
OAI Identifier:oai:upcommons.upc.edu:2117/99282
Acceso en línea:https://hdl.handle.net/2117/99282
https://dx.doi.org/10.1016/j.scico.2015.11.009
Access Level:acceso abierto
Palabra clave:Weather forecasting
Tool development
Predictive services
Reference model
Forecast verification
Service monitoring
Previsió del temps
Àrees temàtiques de la UPC::Informàtica::Aplicacions de la informàtica::Aplicacions informàtiques a la física i l‘enginyeria
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spelling Mercury: using the QuPreSS reference model to evaluate predictive servicesMartínez Fernández, Silverio Juan|||0000-0001-9928-133XFranch Gutiérrez, Javier|||0000-0001-9733-8830Bisbal, JesusWeather forecastingTool developmentPredictive servicesReference modelForecast verificationService monitoringPrevisió del tempsÀrees temàtiques de la UPC::Informàtica::Aplicacions de la informàtica::Aplicacions informàtiques a la física i l‘enginyeriaNowadays, lots of service providers offer predictive services that show in advance a condition or occurrence about the future. As a consequence, it becomes necessary for service customers to select the predictive service that best satisfies their needs. The QuPreSS reference model provides a standard solution for the selection of predictive services based on the quality of their predictions. QuPreSS has been designed to be applicable in any predictive domain (e.g., weather forecasting, economics, and medicine). This paper presents Mercury, a tool based on the QuPreSS reference model and customized to the weather forecast domain. Mercury measures weather predictive services' quality, and automates the context-dependent selection of the most accurate predictive service to satisfy a customer query. To do so, candidate predictive services are monitored so that their predictions can be eventually compared to real observations obtained from a trusted source. Mercury is a proof-of-concept of QuPreSS that aims to show that the selection of predictive services can be driven by the quality of their predictions. Throughout the paper, we show how Mercury was built from the QuPreSS reference model and how it can be installed and used.Peer Reviewed20172017-02-0120172017-01-16journal articlehttp://purl.org/coar/resource_type/c_6501AMhttp://purl.org/coar/version/c_ab4af688f83e57aainfo:eu-repo/semantics/articleapplication/pdfhttps://hdl.handle.net/2117/99282https://dx.doi.org/10.1016/j.scico.2015.11.009reponame:UPCommons. Portal del coneixement obert de la UPCinstname:Universitat Politècnica de Catalunya (UPC)InglésengMinisterio de Economía y Competitividad http://doi.org/10.13039/501100003329 TIN2013-44641-P PRODUCCION DE SERVICIOS Y APPS PARA LOS CIUDADANOS CON TECNOLOGIAS OPEN SOURCEopen accesshttp://purl.org/coar/access_right/c_abf2http://creativecommons.org/licenses/by-nc-nd/3.0/es/info:eu-repo/semantics/openAccessoai:upcommons.upc.edu:2117/992822026-05-27T15:37:01Z
dc.title.none.fl_str_mv Mercury: using the QuPreSS reference model to evaluate predictive services
title Mercury: using the QuPreSS reference model to evaluate predictive services
spellingShingle Mercury: using the QuPreSS reference model to evaluate predictive services
Martínez Fernández, Silverio Juan|||0000-0001-9928-133X
Weather forecasting
Tool development
Predictive services
Reference model
Forecast verification
Service monitoring
Previsió del temps
Àrees temàtiques de la UPC::Informàtica::Aplicacions de la informàtica::Aplicacions informàtiques a la física i l‘enginyeria
title_short Mercury: using the QuPreSS reference model to evaluate predictive services
title_full Mercury: using the QuPreSS reference model to evaluate predictive services
title_fullStr Mercury: using the QuPreSS reference model to evaluate predictive services
title_full_unstemmed Mercury: using the QuPreSS reference model to evaluate predictive services
title_sort Mercury: using the QuPreSS reference model to evaluate predictive services
dc.creator.none.fl_str_mv Martínez Fernández, Silverio Juan|||0000-0001-9928-133X
Franch Gutiérrez, Javier|||0000-0001-9733-8830
Bisbal, Jesus
author Martínez Fernández, Silverio Juan|||0000-0001-9928-133X
author_facet Martínez Fernández, Silverio Juan|||0000-0001-9928-133X
Franch Gutiérrez, Javier|||0000-0001-9733-8830
Bisbal, Jesus
author_role author
author2 Franch Gutiérrez, Javier|||0000-0001-9733-8830
Bisbal, Jesus
author2_role author
author
dc.subject.none.fl_str_mv Weather forecasting
Tool development
Predictive services
Reference model
Forecast verification
Service monitoring
Previsió del temps
Àrees temàtiques de la UPC::Informàtica::Aplicacions de la informàtica::Aplicacions informàtiques a la física i l‘enginyeria
topic Weather forecasting
Tool development
Predictive services
Reference model
Forecast verification
Service monitoring
Previsió del temps
Àrees temàtiques de la UPC::Informàtica::Aplicacions de la informàtica::Aplicacions informàtiques a la física i l‘enginyeria
description Nowadays, lots of service providers offer predictive services that show in advance a condition or occurrence about the future. As a consequence, it becomes necessary for service customers to select the predictive service that best satisfies their needs. The QuPreSS reference model provides a standard solution for the selection of predictive services based on the quality of their predictions. QuPreSS has been designed to be applicable in any predictive domain (e.g., weather forecasting, economics, and medicine). This paper presents Mercury, a tool based on the QuPreSS reference model and customized to the weather forecast domain. Mercury measures weather predictive services' quality, and automates the context-dependent selection of the most accurate predictive service to satisfy a customer query. To do so, candidate predictive services are monitored so that their predictions can be eventually compared to real observations obtained from a trusted source. Mercury is a proof-of-concept of QuPreSS that aims to show that the selection of predictive services can be driven by the quality of their predictions. Throughout the paper, we show how Mercury was built from the QuPreSS reference model and how it can be installed and used.
publishDate 2017
dc.date.none.fl_str_mv 2017
2017-02-01
2017
2017-01-16
dc.type.none.fl_str_mv journal article
http://purl.org/coar/resource_type/c_6501
AM
http://purl.org/coar/version/c_ab4af688f83e57aa
dc.type.openaire.fl_str_mv info:eu-repo/semantics/article
format article
dc.identifier.none.fl_str_mv https://hdl.handle.net/2117/99282
https://dx.doi.org/10.1016/j.scico.2015.11.009
url https://hdl.handle.net/2117/99282
https://dx.doi.org/10.1016/j.scico.2015.11.009
dc.language.none.fl_str_mv Inglés
eng
language_invalid_str_mv Inglés
language eng
dc.relation.none.fl_str_mv Ministerio de Economía y Competitividad http://doi.org/10.13039/501100003329 TIN2013-44641-P PRODUCCION DE SERVICIOS Y APPS PARA LOS CIUDADANOS CON TECNOLOGIAS OPEN SOURCE
dc.rights.none.fl_str_mv open access
http://purl.org/coar/access_right/c_abf2

http://creativecommons.org/licenses/by-nc-nd/3.0/es/
dc.rights.openaire.fl_str_mv info:eu-repo/semantics/openAccess
rights_invalid_str_mv open access
http://purl.org/coar/access_right/c_abf2

http://creativecommons.org/licenses/by-nc-nd/3.0/es/
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
dc.source.none.fl_str_mv reponame:UPCommons. Portal del coneixement obert de la UPC
instname:Universitat Politècnica de Catalunya (UPC)
instname_str Universitat Politècnica de Catalunya (UPC)
reponame_str UPCommons. Portal del coneixement obert de la UPC
collection UPCommons. Portal del coneixement obert de la UPC
repository.name.fl_str_mv
repository.mail.fl_str_mv
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