Please use this identifier to cite or link to this item: http://repositorio.inesctec.pt/handle/123456789/7014
Full metadata record
DC FieldValueLanguage
dc.contributor.authorDomingues,MAen
dc.contributor.authorCarlos Manuel Soaresen
dc.contributor.authorAlípio Jorgeen
dc.date.accessioned2018-01-18T23:46:18Z-
dc.date.available2018-01-18T23:46:18Z-
dc.date.issued2013en
dc.identifier.urihttp://repositorio.inesctec.pt/handle/123456789/7014-
dc.identifier.urihttp://dx.doi.org/10.1007/s10257-012-0209-5en
dc.description.abstractThe goal of many web portals is to select, organize and distribute content in order to satisfy its users/customers. This process is usually based on meta-data that represent and describe content. In this paper we describe a methodology and a system to monitor the quality of the meta-data used to describe content in web portals. The methodology is based on the analysis of the meta-data using statistics, visualization and data mining tools. The methodology enables the site's editor to detect and correct problems in the description of contents, thus improving the quality of the web portal and the satisfaction of its users. We also define a general architecture for a system to support the proposed methodology. We have implemented this system and tested it on a Portuguese portal for management executives. The results validate the methodology proposed.en
dc.languageengen
dc.relation4981en
dc.relation5001en
dc.rightsinfo:eu-repo/semantics/openAccessen
dc.titleUsing statistics, visualization and data mining for monitoring the quality of meta-data in web portalsen
dc.typearticleen
dc.typePublicationen
Appears in Collections:LIAAD - Articles in International Journals

Files in This Item:
File Description SizeFormat 
P-008-H92.pdf645.1 kBAdobe PDFThumbnail
View/Open


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.