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Graphia: Extracting Contextual Relation Graphs from Text

  • Danilo S. Carvalho
  • André Freitas
  • João C. P. da Silva
Part of the Lecture Notes in Computer Science book series (LNCS, volume 7955)

Abstract

This demo presents Graphia, an information extraction pipe-line targeting an RDF representation of unstructured data in the form of structured discourse graphs (SDGs). It combines natural language processing and information extraction techniques with the use of linked open data resources and semantic web technologies to enable discourse representation as a set of contextualized relationships between entities.

Keywords

Open Information Extraction Linked Open Data Natural Language Processing 

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Copyright information

© Springer-Verlag Berlin Heidelberg 2013

Authors and Affiliations

  • Danilo S. Carvalho
    • 1
  • André Freitas
    • 3
  • João C. P. da Silva
    • 2
  1. 1.PESC/COPPEUniversidade Federal do Rio de Janeiro (UFRJ)Brazil
  2. 2.Computer Science DepartmentUniversidade Federal do Rio de Janeiro (UFRJ)Brazil
  3. 3.Digital Enterprise Research Institute (DERI)National University of IrelandGalwayIreland

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