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dc.contributor.authorCarlos Manuel Soaresen
dc.contributor.authorAlípio Jorgeen
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.titleUsing statistics, visualization and data mining for monitoring the quality of meta-data in web portalsen
Appears in Collections:LIAAD - Articles in International Journals

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