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Monitoring the Quality of Meta-data in Web Portals Using Statistics, Visualization and Data Mining

  • Conference paper
Progress in Artificial Intelligence (EPIA 2005)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 3808))

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Abstract

We propose a methodology to monitor the quality of the meta-data used to describe content in web portals. It 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 platform to support the proposed methodology. We have implemented this platform and tested it on a Portuguese portal for management executives. The results validate the methodology proposed.

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Author information

Authors and Affiliations

  1. LIACC-NIAAD/Faculty of Economics, University of Porto,  

    Carlos Soares & Alípio Mário Jorge

  2. LIACC-NIAAD, University of Porto, Rua de Ceuta, 118, 6 Andar, 4050-190, Porto, Portugal

    Marcos Aurélio Domingues

Authors
  1. Carlos Soares
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  2. Alípio Mário Jorge
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  3. Marcos Aurélio Domingues
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Editor information

Editors and Affiliations

  1. Portugal Telecom Inovação (PTI), Centro de Informatica e Sistemas da Universidade de Coimbra (CISUC),  

    Carlos Bento

  2. Department of Informatics Engineering, Coimbra University, Portugal

    Amílcar Cardoso

  3. Centre of Human Language Technology and Bioinformatics, University of Beira Interior, 6201-001, Covilhã, Portugal

    Gaël Dias

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© 2005 Springer-Verlag Berlin Heidelberg

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Soares, C., Jorge, A.M., Domingues, M.A. (2005). Monitoring the Quality of Meta-data in Web Portals Using Statistics, Visualization and Data Mining. In: Bento, C., Cardoso, A., Dias, G. (eds) Progress in Artificial Intelligence. EPIA 2005. Lecture Notes in Computer Science(), vol 3808. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11595014_37

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  • DOI: https://doi.org/10.1007/11595014_37

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-30737-2

  • Online ISBN: 978-3-540-31646-6

  • eBook Packages: Computer ScienceComputer Science (R0)

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