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Euro-Mediterranean Conference

EuroMed 2018: Digital Heritage. Progress in Cultural Heritage: Documentation, Preservation, and Protection pp 188–199Cite as

Automatic Identification of Relations in Quebec Heritage Data

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Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 11196))

Abstract

Heritage data is often represented in unstructured format, especially textual data. In this paper, our objective is to extract instances of predefined relations between persons and real estates from historical notices in French. Using several vector-based representations and supervised learning algorithms, we build classifiers able to achieve an F-measure between 75% to 85% for relation detection. Our results show that performances are highly dependent on the type of relation, and also on the specific evaluation metrics. Our best results are obtained using a TF-IDF vector representation with a support vector machine classifier or Word2Vec vectors combined with a multilayer perceptron classifier.

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Notes

  1. 1.

    http://www.patrimoine-culturel.gouv.qc.ca/rpcq/detail.do?methode=consulter&id=100101&type=bien.

  2. 2.

    https://wiki.dbpedia.org/.

  3. 3.

    https://wordnet.princeton.edu/.

  4. 4.

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

  5. 5.

    http://www.patrimoine-culturel.gouv.qc.ca/.

  6. 6.

    http://scikit-learn.org/.

  7. 7.

    radimrehurek.com/gensim/models/word2vec.html.

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Acknowledgements

This work has been funded by the Quebec Ministry of Culture and Communication.

Author information

Authors and Affiliations

  1. Ecole Polytechnique de Montréal, Montreal, QC, Canada

    François Ferry & Michel Gagnon

  2. University of Ottawa, Ottawa, ON, Canada

    Amal Zouaq

Authors
  1. François Ferry
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  2. Amal Zouaq
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  3. Michel Gagnon
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Corresponding author

Correspondence to Amal Zouaq .

Editor information

Editors and Affiliations

  1. Cyprus University of Technology, Limassol, Cyprus

    Marinos Ioannides

  2. American Art Collaborative Linked Open Data Initiative, Arlington, VA, USA

    Eleanor Fink

  3. Politecnico di Milano, Milan, Italy

    Raffaella Brumana

  4. The Aristotle University, Thessaloniki, Greece

    Petros Patias

  5. National Technical University of Athens, Athens, Greece

    Anastasios Doulamis

  6. CTS-UNINOVA, Caparica, Portugal

    João Martins

  7. University of the Peloponnese, Tripoli, Greece

    Manolis Wallace

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Ferry, F., Zouaq, A., Gagnon, M. (2018). Automatic Identification of Relations in Quebec Heritage Data. In: Ioannides, M., et al. Digital Heritage. Progress in Cultural Heritage: Documentation, Preservation, and Protection. EuroMed 2018. Lecture Notes in Computer Science(), vol 11196. Springer, Cham. https://doi.org/10.1007/978-3-030-01762-0_16

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  • DOI: https://doi.org/10.1007/978-3-030-01762-0_16

  • Published:

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-01761-3

  • Online ISBN: 978-3-030-01762-0

  • eBook Packages: Computer ScienceComputer Science (R0)

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