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Information Systems Development pp 121–129Cite as

Conceptual Web Users’ Actions Prediction for Ontology-Based Browsing Recommendations

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Abstract

The Internet consists of thousands of web sites with different kinds of structures. However, users are browsing the web according to their informational expectations towards the web site searched, having an implicit conceptual model of the domain in their minds. Nevertheless, people tend to repeat themselves and have partially shared conceptual views while surfing the web, finding some areas of web sites more interesting than others. Herein, we take advantage of the latter and provide a model and a study on predicting users’ actions based on the web ontology concepts and their relations.

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Author information

Authors and Affiliations

  1. Department of Computer Engineering, Tallinn University of Technology, Tallinn, Estonia

    Tarmo Robal & Ahto Kalja

Authors
  1. Tarmo Robal
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  2. Ahto Kalja
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Editor information

Editors and Affiliations

  1. Dept. Computer Science, University of Cyprus, Nicosia, Cyprus

    George Angelos Papadopoulos

  2. College of Business & Economics, Dept. Information Technology &, Boise State University, Univesity Dr. 1910, Boise, 83725-1615, Idaho, USA

    Wita Wojtkowski

  3. College of Business & Economics, Dept. Information Technology &, Boise State University, Univesity Dr. 1910, Boise, 83725-1615, Idaho, USA

    Gregory Wojtkowski

  4. Dep. of Information Systems, University of Gdansk, 81-824 Sopot,Polska ul. Armii, Krajowej, 119121, Poland

    Stanislaw Wrycza

  5. University of Maribor, Presernova 11, Kranj, 4000, Slovenia

    Jože Zupancic

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Robal, T., Kalja, A. (2009). Conceptual Web Users’ Actions Prediction for Ontology-Based Browsing Recommendations. In: Papadopoulos, G., Wojtkowski, W., Wojtkowski, G., Wrycza, S., Zupancic, J. (eds) Information Systems Development. Springer, Boston, MA. https://doi.org/10.1007/b137171_13

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  • DOI: https://doi.org/10.1007/b137171_13

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  • Publisher Name: Springer, Boston, MA

  • Print ISBN: 978-0-387-84809-9

  • Online ISBN: 978-0-387-84810-5

  • eBook Packages: Computer ScienceComputer Science (R0)

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