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Identifying Users Stereotypes with Semantic Web Mining

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Advances in Conceptual Modeling – Challenges and Opportunities (ER 2008)

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 5232))

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Abstract

This work describes the implementation of automatic user profile acquisition, using domain ontologies and Web usage mining. The main objective is the integration of usage data obtained from user sessions, with semantic description, obtained from domain ontology. In this way it is possible to identify more precisely the interests and needs of a typical user.

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Author information

Authors and Affiliations

  1. Universidade do Vale do Rio dos Sinos (UNISINOS), São Leopoldo, RS, Brasil

    Sandro José Rigo

  2. Instituto de Informática, Universidade Federal do Rio Grande do Sul (UFRGS), Porto Alegre, RS, Brazil

    Sandro José Rigo & José Palazzo Moreira de Oliveira

Authors
  1. Sandro José Rigo
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  2. José Palazzo Moreira de Oliveira
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Editor information

Editors and Affiliations

  1. College of Information Science and Technology, Drexel University, USA

    Il-Yeol Song

  2. Dep. of Information Technologies & Systems - Escuela Superior de Informática, University of Castilla-La Mancha, Alarcos Research Group- Institute of Information Technologies & Systems, Ciudad Real, Spain

    Mario Piattini

  3. School of Engineering and Information Technology, Deakin University, 221 Burwood Highway, Vic, 3125, Australia

    Yi-Ping Phoebe Chen

  4. Clausthal University of Technology, Julius-Albert-Str. 4, 38678, Clausthal-Zellerfeld, Germany

    Sven Hartmann

  5. Dipartimento di Elettronica, Informatica e Sistemistica, Alma Mater Studiorum – Università di Bologna, P.O. Box, Italy

    Fabio Grandi

  6. Department of Software and Computing Systems, University of Alicante, Spain

    Juan Trujillo

  7. Department of Information Science and Media Studies, University of Bergen, Fosswinckelsgate 6, 5007, Bergen, Norway

    Andreas L. Opdahl

  8. Istituto di Ricerche sulla Popolazione e Politiche Sociali, CNR, Via Nizza 128, 00198, Roma, Italy

    Fernando Ferri  & Patrizia Grifoni  & 

  9. IRPPS-CNR, Rome, Italy

    Maria Chiara Caschera

  10. Universit Paris1 Panthon Sorbonne, CRI, 90 Rue de Tolbiac, 75013, Paris

    Colette Rolland

  11. Portland State University, USA; Indiana University, USA University of British Columbia, Canada; Hill-Rom Company, USA University of British Columbia, Canada; Deloitte Consulting, P.O. Box, USA

    Carson Woo

  12. Centre de Recherche en Informatique, Université Paris 1 Panthéon-Sorbonne, 90 rue de Tolbiac, 75013, Paris

    Camille Salinesi

  13. Université Libre de Bruxelles, Belgium

    Esteban Zimányi

  14. Naval Academy Research Institute, Brest Naval, France

    Christophe Claramunt

  15. Technische Universiteit Eindhoven, PO Box 513, NL-5600 MB, Eindhoven, The Netherlands

    Flavius Frasincar

  16. Technische Universiteit Eindhoven, P.O. Box 513, NL 5600 MB, Eindhoven, The Netherlands

    Geert-Jan Houben

  17. IMRU-FUNDP, University of Namur, Namur, Belgium

    Philippe Thiran

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© 2008 Springer-Verlag Berlin Heidelberg

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Rigo, S.J., de Oliveira, J.P.M. (2008). Identifying Users Stereotypes with Semantic Web Mining. In: Song, IY., et al. Advances in Conceptual Modeling – Challenges and Opportunities. ER 2008. Lecture Notes in Computer Science, vol 5232. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-87991-6_52

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  • DOI: https://doi.org/10.1007/978-3-540-87991-6_52

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-87990-9

  • Online ISBN: 978-3-540-87991-6

  • eBook Packages: Computer ScienceComputer Science (R0)

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