Extraction of Character Profiles from the Gutenberg Archive

  • Mattia Egloff
  • Davide Picca
  • Alessandro AdamouEmail author
Conference paper
Part of the Communications in Computer and Information Science book series (CCIS, volume 1057)


Online text repositories such as have been increasing in number, size and adoption. This growing availability prompts new investigations for insights into the knowledge emerging from the content of e.g. literature and drama. However, the process relies upon the repositories’ ability to fulfill FAIR principles. We present the preparatory work on the semantic analysis of drama literature in Gutenberg, aiming at the extraction and profiling of fictional characters and their narrative roles. Our preliminary analysis matches such characters and their corresponding profiles in knowledge bases such as DBpedia and Wikidata.


Data reconciliation Profiling Fictional literature 


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© Springer Nature Switzerland AG 2019

Authors and Affiliations

  1. 1.University of LausanneLausanneSwitzerland
  2. 2.Data Science InstituteNUI GalwayGalwayIreland

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