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Knowledge-Based Named Entity Recognition of Archaeological Concepts in Dutch

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Metadata and Semantic Research (MTSR 2020)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 1355))

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Abstract

The advancement of Natural Language Processing (NLP) allows the process of deriving information from large volumes of text to be automated, making text-based resources more discoverable and useful. The attention is turned to one of the most important, but traditionally difficult to access resources in archaeology; the largely unpublished reports generated by commercial or “rescue” archaeology, commonly known as “grey literature”. The paper presents the development and evaluation of a Named Entity Recognition system of Dutch archaeological grey literature targeted at extracting mentions of artefacts, archaeological features, materials, places and time entities. The role of domain vocabulary is discussed for the development of a KOS-driven NLP pipeline which is evaluated against a Gold Standard, human-annotated corpus.

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Notes

  1. 1.

    Simple Knowledge Organization System (SKOS) is a Semantic Web format and aW3C recommendation designed for representation of thesauri, classification schemes, taxonomies, subject heading systems, or any other type of structured controlled vocabulary https://www.w3.org/2004/02/skos/.

  2. 2.

    http://openskos.org/api/collections/rce:EGT.html.

  3. 3.

    https://opennlp.apache.org/.

  4. 4.

    https://snowballstem.org/.

  5. 5.

    https://gate.ac.uk/sale/tao/splitch13.html#x18-33400013.8.

  6. 6.

    https://cloud.gate.ac.uk/shopfront/displayItem/archaeology-ner-nl.

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Acknowledgments

This work was supported by the European Commission under the Community’s Seventh Framework Programme, contract no. FP7-INFRASTRUCTURES-2012-1-313193 (the ARIADNE project). Thanks, are due to ARIADNE project partners from Leiden University who helped with the definition of the Gold standard

Author information

Authors and Affiliations

  1. Department of Information Studies, UCL, Gower Street, London, WC1E 6BT, UK

    Andreas Vlachidis

  2. School of Computing and Mathematics, University of South Wales, Newport, CF37 1DL, UK

    Douglas Tudhope

  3. Faculty of Archaeology, Leiden University, Einsteinweg 2, 2333 CC, Leiden, The Netherlands

    Milco Wansleeben

Authors
  1. Andreas Vlachidis
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  2. Douglas Tudhope
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  3. Milco Wansleeben
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Corresponding author

Correspondence to Andreas Vlachidis .

Editor information

Editors and Affiliations

  1. International Hellenic University, Thessaloniki, Greece

    Emmanouel Garoufallou

  2. Complutense University of Madrid, Madrid, Spain

    María-Antonia Ovalle-Perandones

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Vlachidis, A., Tudhope, D., Wansleeben, M. (2021). Knowledge-Based Named Entity Recognition of Archaeological Concepts in Dutch. In: Garoufallou, E., Ovalle-Perandones, MA. (eds) Metadata and Semantic Research. MTSR 2020. Communications in Computer and Information Science, vol 1355. Springer, Cham. https://doi.org/10.1007/978-3-030-71903-6_6

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  • DOI: https://doi.org/10.1007/978-3-030-71903-6_6

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-71902-9

  • Online ISBN: 978-3-030-71903-6

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