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European Semantic Web Conference

ESWC 2018: The Semantic Web: ESWC 2018 Satellite Events pp 423–433Cite as

Exploring Linked Data for the Automatic Enrichment of Historical Archives

Part of the Lecture Notes in Computer Science book series (LNISA,volume 11155)

Abstract

With the increasing scale of online cultural heritage collections, the efforts of manually adding annotations to their contents become a challenging and costly endeavour. Entity Linking is a process used to automatically apply such annotations to a text based collection, where the quality and coverage of the linking process is highly dependent on the knowledge base that informs it. In this paper, we present our ongoing efforts to annotate a corpus of \(17^{th}\) century Irish witness statements using Entity Linking methods that utilise Semantic Web techniques. We discuss problems faced in this process and attempts to remedy them.

Keywords

  • Entity linking
  • Ontology creation
  • Automatic enrichment

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  • DOI: 10.1007/978-3-319-98192-5_57
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Notes

  1. 1.

    https://www.europeana.eu/portal/en.

  2. 2.

    https://dp.la/.

  3. 3.

    http://wiki.dbpedia.org/.

  4. 4.

    https://www.mpi-inf.mpg.de/departments/databases-and-information-systems/research/yago-naga/yago/#c10444.

  5. 5.

    http://1641.tcd.ie/deposition.php?depID=815351r406.

  6. 6.

    http://downsurvey.tcd.ie/index.html.

  7. 7.

    http://www.oxforddnb.com.

  8. 8.

    http://dib.cambridge.org/.

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Acknowledgements

The ADAPT Centre for Digital Content Technology is funded under the SFI Research Centres Programme (Grant 13/RC/2106) and is co-funded under the European Regional Development Fund.

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Authors and Affiliations

  1. Adapt Centre, Trinity College Dublin, Dublin, Ireland

    Gary Munnelly, Harshvardhan J. Pandit & Séamus Lawless

Authors
  1. Gary Munnelly
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  2. Harshvardhan J. Pandit
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  3. Séamus Lawless
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Corresponding author

Correspondence to Gary Munnelly .

Editor information

Editors and Affiliations

  1. University of Bologna, Bologna, Italy

    Dr. Aldo Gangemi

  2. IBM Research - Almaden, San Jose, California, USA

    Anna Lisa Gentile

  3. CNR-ISTC, Rome, Italy

    Andrea Giovanni Nuzzolese

  4. Technische Universität Dresden, Dresden, Germany

    Dr. Sebastian Rudolph

  5. Karlsruhe Institute of Technology, Karlsruhe, Germany

    Dr. Maria Maleshkova

  6. University of Mannheim, Mannheim, Germany

    Heiko Paulheim

  7. University of Aberdeen, Aberdeen, United Kingdom

    Prof. Jeff Z Pan

  8. CNR-ISTC, Rome, Italy

    Mehwish Alam

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Munnelly, G., Pandit, H.J., Lawless, S. (2018). Exploring Linked Data for the Automatic Enrichment of Historical Archives. In: , et al. The Semantic Web: ESWC 2018 Satellite Events. ESWC 2018. Lecture Notes in Computer Science(), vol 11155. Springer, Cham. https://doi.org/10.1007/978-3-319-98192-5_57

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  • DOI: https://doi.org/10.1007/978-3-319-98192-5_57

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