Visibility Analysis on the Web Using Co-visibilities and Semantic Networks

  • Peter Kiefer
  • Klaus Stein
  • Christoph Schlieder
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 4289)


Monitoring public attention for a topic is of interest for many target groups like social scientists or public relations. Several examples demonstrate how public attention caused by real-world events is accompanied by an accordant visibility of topics on the web. It is shown that the hitcount values of a search engine we use as initial visibility values have to be adjusted by taking the semantic relations between topics into account. We model these relations using semantic networks and present an algorithm based on Spreading Activation that adjusts the initial visibilities. The concept of co-visibility between topics is integrated to obtain an algorithm that mostly complies with an intuitive view on visibilities. The reliability of search engine hitcounts is discussed.


Search Engine Visibility Analysis Climate Policy Semantic Relation Semantic Network 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.


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Copyright information

© Springer-Verlag Berlin Heidelberg 2006

Authors and Affiliations

  • Peter Kiefer
    • 1
  • Klaus Stein
    • 1
  • Christoph Schlieder
    • 1
  1. 1.Laboratory for Semantic Information ProcessingOtto-Friedrich-University BambergGermany

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