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dc.date.accessioned 2017-05-05T11:28:16Z
dc.date.available 2017-05-05T11:28:16Z
dc.date.issued 2017-04
dc.identifier.uri http://sedici.unlp.edu.ar/handle/10915/59988
dc.description.abstract 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. en
dc.format.extent 49-58 es
dc.language en es
dc.subject Almacenamiento y Recuperación de la Información es
dc.subject web mining algorithms en
dc.subject technological forecasting en
dc.subject competitive intelligence en
dc.title Web Information Retrieval System for Technological Forecasting en
dc.type Articulo es
sedici.identifier.uri http://journal.info.unlp.edu.ar/wp-content/uploads/2017/05/JCST-44-Paper-6.pdf es
sedici.identifier.issn 1666-6038 es
sedici.creator.person Montiel, Raúl es
sedici.creator.person Lezcano Airaldi, Luis es
sedici.creator.person Favret, Fabián es
sedici.creator.person Eckert, Karina es
sedici.subject.materias Ciencias Informáticas es
sedici.description.fulltext true es
mods.originInfo.place Facultad de Informática es
sedici.subtype Articulo es
sedici.rights.license Creative Commons Attribution 3.0 Unported (CC BY 3.0)
sedici.rights.uri http://creativecommons.org/licenses/by/3.0/
sedici.description.peerReview peer-review es
sedici.relation.journalTitle Journal of Computer Science & Technology es
sedici.relation.journalVolumeAndIssue vol. 17, no. 1 es


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Creative Commons Attribution 3.0 Unported (CC BY 3.0) Excepto donde se diga explícitamente, este item se publica bajo la siguiente licencia Creative Commons Attribution 3.0 Unported (CC BY 3.0)