Semantic Content Access Using Domain-Independent NLP Ontologies

  • René Witte
  • Ralf Krestel
Part of the Lecture Notes in Computer Science book series (LNCS, volume 6177)


We present a lightweight, user-centred approach for document navigation and analysis that is based on an ontology of text mining results. This allows us to bring the result of existing text mining pipelines directly to end users. Our approach is domain-independent and relies on existing NLP analysis tasks such as automatic multi-document summarization, clustering, question-answering, and opinion mining. Users can interactively trigger semantic processing services for tasks such as analyzing product reviews, daily news, or other document sets.


Text Mining Opinion Mining Daily News Product Review Topic Cluster 
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 2010

Authors and Affiliations

  • René Witte
    • 1
  • Ralf Krestel
    • 2
  1. 1.Semantic Software LabConcordia UniversityMontréalCanada
  2. 2.L3S Research CenterUniversity of HannoverGermany

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