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

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Metadata and Semantic Research (MTSR 2021)

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

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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.

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

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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 .

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Editors and Affiliations

  1. International Hellenic University, Thessaloniki, Greece

    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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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-98875-3

  • Online ISBN: 978-3-030-98876-0

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