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Research Conference on Metadata and Semantics Research

MTSR 2021: Metadata and Semantic Research pp 236–242Cite as

Semantic Information Extraction in Archaeology: Challenges in the Construction of a Portuguese Corpus of Megalithism

Part of the Communications in Computer and Information Science book series (CCIS,volume 1537)

Abstract

Archaeological records are a central part of this discipline research. It is essential that the records include the relationship between its parts to allow better understanding among man and machine. Here we present the challenges of applying NLP and Information Extraction to Archaeological data with a case study: Megalithism.

Keywords

  • Information Extraction
  • Natural Language Processing
  • Archaeology
  • Megalithism

This work is funded by national funds through the Foundation for Science and Technology, under the project UIDB/00057/2020.

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Fig. 1.

Notes

  1. 1.

    http://www.cidoc-crm.org.

  2. 2.

    http://www.patrimoniocultural.gov.pt/static/data/patrimonio_arqueologico/listadecampos.pdf.

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Authors and Affiliations

  1. CIDEHUS, University of Évora, Palácio do Vimioso - Largo do Marquês de Marialva, no. 8, Apartado 94, 7000-809, Évora, Portugal

    Ivo Santos & Renata Vieira

Authors
  1. Ivo Santos
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  2. Renata Vieira
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Corresponding author

Correspondence to Ivo Santos .

Editor information

Editors and Affiliations

  1. International Hellenic University, Thessaloniki, Greece

    Dr. Emmanouel Garoufallou

  2. Complutense University of Madrid, Madrid, Spain

    María-Antonia Ovalle-Perandones

  3. University College London, London, UK

    Andreas Vlachidis

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Santos, I., Vieira, R. (2022). Semantic Information Extraction in Archaeology: Challenges in the Construction of a Portuguese Corpus of Megalithism. In: Garoufallou, E., Ovalle-Perandones, MA., Vlachidis, A. (eds) Metadata and Semantic Research. MTSR 2021. Communications in Computer and Information Science, vol 1537. Springer, Cham. https://doi.org/10.1007/978-3-030-98876-0_21

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  • DOI: https://doi.org/10.1007/978-3-030-98876-0_21

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