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VisNavi: Citation Context Visualization and Navigation

  • Conference paper

Part of the Lecture Notes in Computer Science book series (LNISA,volume 7814)

Abstract

The process of retrieving information for literature review purposes differs from traditional web information retrieval. Literature reviews differentiate between the weightiness of the retrieved data segments. For example, citations and their accompanying information, such as cited author, citation context etc., are a very important consideration when searching for relevant information in literature. However, this information is integrated into a scientific paper, in rich interrelationships, making it very complicated for standard search systems to present and track them efficiently. In this paper, we demonstrate a system, VisNavi, in the form of a visualized star-centered approach that introduces the rich citation interrelationships to the searchers in an effective and navigational appearance.

Keywords

  • digital libraries
  • citation context
  • visualization
  • navigation
  • information retrieval
  • text extraction

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  • DOI: 10.1007/978-3-642-36973-5_100
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References

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© 2013 Springer-Verlag Berlin Heidelberg

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Saad, F., Mathiak, B. (2013). VisNavi: Citation Context Visualization and Navigation. In: , et al. Advances in Information Retrieval. ECIR 2013. Lecture Notes in Computer Science, vol 7814. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-36973-5_100

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  • DOI: https://doi.org/10.1007/978-3-642-36973-5_100

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-36972-8

  • Online ISBN: 978-3-642-36973-5

  • eBook Packages: Computer ScienceComputer Science (R0)