Using statistics, visualization and data mining for monitoring the quality of meta-data in web portals

• Tipo: Artigo em Revista Científica Internacional
• Data: 2013

Autores

Marcos Aurelio Domingues (Autor) Outra; Carlos Soares (Autor) FEUP; Alipio Mario Jorge (Autor) FCUP

Revista

Título: Information Systems and e-Business Management

Vol. 11

Páginas: 569-595

ISSN: 1617-9846

Editora: Springer Nature

Indexação

ISI Web of Knowledge - 5 Citações

Scopus - 7 Citações

Classificação Científica

FOS: Ciências sociais > Economia e gestão

Outras Informações

ID Authenticus: P-008-H92

DOI: 10.1007/s10257-012-0209-5

Abstract (EN): The 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.

Idioma: Inglês

Tipo (Avaliação Docente): Científica

Nº de páginas: 27