Web Information Retrieval System for Technological Forecasting

Autores
Montiel, Raúl; Lezcano Airaldi, Luis; Favret, Fabián; Eckert, Karina
Año de publicación
2017
Idioma
inglés
Tipo de recurso
artículo
Estado
versión publicada
Descripción
Technological Forecasting and Competitive Intelligence are two different disciplines that, used together, provide the organizations with an invaluable analytic tool for the environment and the competing companies’ behavior. This kind of technology can be used for extracting useful information to make strategic decisions. This paper describes a Web mining system which gathers the users’ information requirements through a series of guided questions, constructs various search keys with the answers and uses them to perform a continuous search and analysis process by means of several web search engines and different information retrieval algorithms to score the relevance of the documents obtained. These documents are later presented to the user as an aid in the decision making process. After the description, the system was tested in several scenarios and the obtained results are shown and discussed.
Facultad de Informática
Materia
Ciencias Informáticas
Almacenamiento y Recuperación de la Información
web mining algorithms
technological forecasting
competitive intelligence
Nivel de accesibilidad
acceso abierto
Condiciones de uso
http://creativecommons.org/licenses/by/3.0/
Repositorio
SEDICI (UNLP)
Institución
Universidad Nacional de La Plata
OAI Identificador
oai:sedici.unlp.edu.ar:10915/59988
Acceder
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oai_identifier_str oai:sedici.unlp.edu.ar:10915/59988
network_acronym_str SEDICI
repository_id_str 1329
network_name_str SEDICI (UNLP)
spelling Web Information Retrieval System for Technological ForecastingMontiel, RaúlLezcano Airaldi, LuisFavret, FabiánEckert, KarinaCiencias InformáticasAlmacenamiento y Recuperación de la Informaciónweb mining algorithmstechnological forecastingcompetitive intelligenceTechnological Forecasting and Competitive Intelligence are two different disciplines that, used together, provide the organizations with an invaluable analytic tool for the environment and the competing companies’ behavior. This kind of technology can be used for extracting useful information to make strategic decisions. This paper describes a Web mining system which gathers the users’ information requirements through a series of guided questions, constructs various search keys with the answers and uses them to perform a continuous search and analysis process by means of several web search engines and different information retrieval algorithms to score the relevance of the documents obtained. These documents are later presented to the user as an aid in the decision making process. After the description, the system was tested in several scenarios and the obtained results are shown and discussed.Facultad de Informática2017-04info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionArticulohttp://purl.org/coar/resource_type/c_6501info:ar-repo/semantics/articuloapplication/pdf49-58http://sedici.unlp.edu.ar/handle/10915/59988enginfo:eu-repo/semantics/altIdentifier/url/http://journal.info.unlp.edu.ar/wp-content/uploads/2017/05/JCST-44-Paper-6.pdfinfo:eu-repo/semantics/altIdentifier/issn/1666-6038info:eu-repo/semantics/openAccesshttp://creativecommons.org/licenses/by/3.0/Creative Commons Attribution 3.0 Unported (CC BY 3.0)reponame:SEDICI (UNLP)instname:Universidad Nacional de La Platainstacron:UNLP2025-09-10T12:10:28Zoai:sedici.unlp.edu.ar:10915/59988Institucionalhttp://sedici.unlp.edu.ar/Universidad públicaNo correspondehttp://sedici.unlp.edu.ar/oai/snrdalira@sedici.unlp.edu.arArgentinaNo correspondeNo correspondeNo correspondeopendoar:13292025-09-10 12:10:29.078SEDICI (UNLP) - Universidad Nacional de La Platafalse
dc.title.none.fl_str_mv Web Information Retrieval System for Technological Forecasting
title Web Information Retrieval System for Technological Forecasting
spellingShingle Web Information Retrieval System for Technological Forecasting
Montiel, Raúl
Ciencias Informáticas
Almacenamiento y Recuperación de la Información
web mining algorithms
technological forecasting
competitive intelligence
title_short Web Information Retrieval System for Technological Forecasting
title_full Web Information Retrieval System for Technological Forecasting
title_fullStr Web Information Retrieval System for Technological Forecasting
title_full_unstemmed Web Information Retrieval System for Technological Forecasting
title_sort Web Information Retrieval System for Technological Forecasting
dc.creator.none.fl_str_mv Montiel, Raúl
Lezcano Airaldi, Luis
Favret, Fabián
Eckert, Karina
author Montiel, Raúl
author_facet Montiel, Raúl
Lezcano Airaldi, Luis
Favret, Fabián
Eckert, Karina
author_role author
author2 Lezcano Airaldi, Luis
Favret, Fabián
Eckert, Karina
author2_role author
author
author
dc.subject.none.fl_str_mv Ciencias Informáticas
Almacenamiento y Recuperación de la Información
web mining algorithms
technological forecasting
competitive intelligence
topic Ciencias Informáticas
Almacenamiento y Recuperación de la Información
web mining algorithms
technological forecasting
competitive intelligence
dc.description.none.fl_txt_mv Technological Forecasting and Competitive Intelligence are two different disciplines that, used together, provide the organizations with an invaluable analytic tool for the environment and the competing companies’ behavior. This kind of technology can be used for extracting useful information to make strategic decisions. This paper describes a Web mining system which gathers the users’ information requirements through a series of guided questions, constructs various search keys with the answers and uses them to perform a continuous search and analysis process by means of several web search engines and different information retrieval algorithms to score the relevance of the documents obtained. These documents are later presented to the user as an aid in the decision making process. After the description, the system was tested in several scenarios and the obtained results are shown and discussed.
Facultad de Informática
description Technological Forecasting and Competitive Intelligence are two different disciplines that, used together, provide the organizations with an invaluable analytic tool for the environment and the competing companies’ behavior. This kind of technology can be used for extracting useful information to make strategic decisions. This paper describes a Web mining system which gathers the users’ information requirements through a series of guided questions, constructs various search keys with the answers and uses them to perform a continuous search and analysis process by means of several web search engines and different information retrieval algorithms to score the relevance of the documents obtained. These documents are later presented to the user as an aid in the decision making process. After the description, the system was tested in several scenarios and the obtained results are shown and discussed.
publishDate 2017
dc.date.none.fl_str_mv 2017-04
dc.type.none.fl_str_mv info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
Articulo
http://purl.org/coar/resource_type/c_6501
info:ar-repo/semantics/articulo
format article
status_str publishedVersion
dc.identifier.none.fl_str_mv http://sedici.unlp.edu.ar/handle/10915/59988
url http://sedici.unlp.edu.ar/handle/10915/59988
dc.language.none.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv info:eu-repo/semantics/altIdentifier/url/http://journal.info.unlp.edu.ar/wp-content/uploads/2017/05/JCST-44-Paper-6.pdf
info:eu-repo/semantics/altIdentifier/issn/1666-6038
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
http://creativecommons.org/licenses/by/3.0/
Creative Commons Attribution 3.0 Unported (CC BY 3.0)
eu_rights_str_mv openAccess
rights_invalid_str_mv http://creativecommons.org/licenses/by/3.0/
Creative Commons Attribution 3.0 Unported (CC BY 3.0)
dc.format.none.fl_str_mv application/pdf
49-58
dc.source.none.fl_str_mv reponame:SEDICI (UNLP)
instname:Universidad Nacional de La Plata
instacron:UNLP
reponame_str SEDICI (UNLP)
collection SEDICI (UNLP)
instname_str Universidad Nacional de La Plata
instacron_str UNLP
institution UNLP
repository.name.fl_str_mv SEDICI (UNLP) - Universidad Nacional de La Plata
repository.mail.fl_str_mv alira@sedici.unlp.edu.ar
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