Web Information Retrieval System for Technological Forecasting

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 mak...

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Detalles Bibliográficos
Autores principales:	Montiel, Raúl, Lezcano Airaldi, Luis, Favret, Fabián, Eckert, Karina
Formato:	Articulo
Lenguaje:	Inglés
Publicado:	2017
Materias:	Ciencias Informáticas Almacenamiento y Recuperación de la Información web mining algorithms technological forecasting competitive intelligence
Acceso en línea:	http://sedici.unlp.edu.ar/handle/10915/59988 http://journal.info.unlp.edu.ar/wp-content/uploads/2017/05/JCST-44-Paper-6.pdf
Aporte de:	SEDICI (UNLP) de Universidad Nacional de La Plata

id	I19-R120-10915-59988
record_format	dspace
institution	Universidad Nacional de La Plata
institution_str	I-19
repository_str	R-120
collection	SEDICI (UNLP)
language	Inglés
topic	Ciencias Informáticas Almacenamiento y Recuperación de la Información web mining algorithms technological forecasting competitive intelligence
spellingShingle	Ciencias Informáticas Almacenamiento y Recuperación de la Información web mining algorithms technological forecasting competitive intelligence Montiel, Raúl Lezcano Airaldi, Luis Favret, Fabián Eckert, Karina Web Information Retrieval System for Technological Forecasting
topic_facet	Ciencias Informáticas Almacenamiento y Recuperación de la Información web mining algorithms technological forecasting competitive intelligence
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.
format	Articulo Articulo
author	Montiel, Raúl Lezcano Airaldi, Luis Favret, Fabián Eckert, Karina
author_facet	Montiel, Raúl Lezcano Airaldi, Luis Favret, Fabián Eckert, Karina
author_sort	Montiel, Raúl
title	Web Information Retrieval System for Technological Forecasting
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
publishDate	2017
url	http://sedici.unlp.edu.ar/handle/10915/59988 http://journal.info.unlp.edu.ar/wp-content/uploads/2017/05/JCST-44-Paper-6.pdf
work_keys_str_mv	AT montielraul webinformationretrievalsystemfortechnologicalforecasting AT lezcanoairaldiluis webinformationretrievalsystemfortechnologicalforecasting AT favretfabian webinformationretrievalsystemfortechnologicalforecasting AT eckertkarina webinformationretrievalsystemfortechnologicalforecasting
bdutipo_str	Repositorios
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Web Information Retrieval System for Technological Forecasting

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