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Information Retrieval in Trust-Enhanced Document Networks

  • Conference paper
Semantics, Web and Mining (EWMF 2005, KDO 2005)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 4289))

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Abstract

To fight the problem of information overload in huge information sources like large document repositories, e. g. citeseer, or internet websites you need a selection criterion: some kind of ranking is required. Ranking methods like PageRank analyze the structure of the document reference network. However, these rankings do not distinguish different reference semantics. We enhance these rankings by incorporating information of a second layer: the author trust network to improve ranking quality and to enable personalized selections.

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Author information

Authors and Affiliations

  1. Laboratory for Semantic Information Technology, Bamberg University,  

    Klaus Stein & Claudia Hess

Authors
  1. Klaus Stein
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  2. Claudia Hess
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Editor information

Editors and Affiliations

  1. Department of Natural Language Processing, Institute for Computer Science, University of Leipzig,  

    Markus Ackermann

  2. Department of Computer Science, K.U. Leuven, B-3001, Heverlee, Belgium

    Bettina Berendt

  3. Dept. of Knowledge Technologies, Jozef Stefan Institute, Jamova 39, 1000, Ljubljana, Slovenia

    Marko Grobelnik

  4. Knowledge & Data Engineering Group, University of Kassel, Wilhelmshöher Allee 73, D-34121, Kassel, Germany

    Andreas Hotho

  5. Jožef Stefan Institute, Jamova 39, 1000, Ljubljana, Slovenia

    Dunja Mladenič

  6. Dipartimento di Informatica, Università di Bari, Via E. Orabona, 4, 70125, Bari, Italia

    Giovanni Semeraro

  7. Faculty of Computer Science, Otto-von-Guericke-University Magdeburg, Germany

    Myra Spiliopoulou

  8. Research Center L3S, Appelstr. 9a, D-30167, Hannover, Germany

    Gerd Stumme

  9. Dept. Information and Knowledge Engineering, University of Economics, Prague, Winston Churchill Sq. 4, 130 67 Praha 3, Prague, Czech Republic

    Vojtěch Svátek

  10. Human Computer Studies Lab, University of Amsterdam, Kruislaan 419, 1089, Amsterdam, VA, The Netherlands

    Maarten van Someren

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© 2006 Springer-Verlag Berlin Heidelberg

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Stein, K., Hess, C. (2006). Information Retrieval in Trust-Enhanced Document Networks. In: Ackermann, M., et al. Semantics, Web and Mining. EWMF KDO 2005 2005. Lecture Notes in Computer Science(), vol 4289. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11908678_5

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  • DOI: https://doi.org/10.1007/11908678_5

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-47697-9

  • Online ISBN: 978-3-540-47698-6

  • eBook Packages: Computer ScienceComputer Science (R0)

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