East European Conference on Advances in Databases and Information Systems

ADBIS 2015: New Trends in Databases and Information Systems pp 505-514 | Cite as

Disambiguation of Named Entities in Cultural Heritage Texts Using Linked Data Sets

Conference paper
Part of the Communications in Computer and Information Science book series (CCIS, volume 539)


This paper proposes a graph-based algorithm baptized REDEN for the disambiguation of authors’ names in French literary criticism texts and scientific essays from the 19th century. It leverages knowledge from different Linked Data sources in order to select candidates for each author mention, then performs fusion of DBpedia and BnF individuals into a single graph, and finally decides the best referent using the notion of graph centrality. Some experiments are conducted in order to identify the best size of disambiguation context and to assess the influence on centrality of specific relations represented as edges. This work will help scholars to trace the impact of authors’ ideas across different works and time periods.


Named-entity disambiguation Centrality Linked data Data fusion Digital humanities 


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Copyright information

© Springer International Publishing Switzerland 2015

Authors and Affiliations

  1. 1.Labex OBVIL. LiP6, UPMC. CNRSParisFrance
  2. 2.Istituto di Linguistica Computazionale CNRPisaItaly

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