Kanopy: Analysing the Semantic Network around Document Topics

  • Ioana Hulpuş
  • Conor Hayes
  • Marcel Karnstedt
  • Derek Greene
  • Marek Jozwowicz
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 8190)


External knowledge bases, both generic and domain specific, available on the Web of Data have the potential of enriching the content of text documents with structured information. We present the Kanopy system that makes explicit use of this potential. Besides the common task of semantic annotation of documents, Kanopy analyses the semantic network that resides in DBpedia around extracted concepts. The system’s main novelty lies in the translation of social network analysis measures to semantic networks in order to find suitable topic labels. Moreover, Kanopy extracts advanced knolwedge in the form of subgraphs that capture the relationships between the concepts.


Noun Phrase Semantic Network Document Topic Topic Labelling Keyphrase Extraction 
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 2013

Authors and Affiliations

  • Ioana Hulpuş
    • 1
  • Conor Hayes
    • 2
  • Marcel Karnstedt
    • 1
  • Derek Greene
    • 3
  • Marek Jozwowicz
    • 1
  1. 1.Digital Enterprise Research InstituteNUI-GalwayIreland
  2. 2.College of Engineering and InformaticsNUI-GalwayIreland
  3. 3.School of Computer Science and InformaticsUniversity College DublinIreland

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