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Link to original content: https://doi.org/10.1007/978-3-030-41505-1_10
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Aligning IATE Criminal Terminology to SUMO

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Computational Processing of the Portuguese Language (PROPOR 2020)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 12037))

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Abstract

In this paper we apply an ontology matching system in the context of an information extraction project regarding criminal data. Our data comes from social network, in order to make better sense and analysis of the information provided we consider the IATE (InterActive Terminology for Europe) regarding its crime related sub-domain. The alignment of this terminology to an ontology is a further step towards enriching the semantics of the data. We evaluate a recently proposed domain top ontology matcher (based on Wordnet-SUMO previous alignment) to the task of aligning this IATE sub-domain to SUMO, a general purpose top ontology. Another aspect to explore is the use of multi-linguality in the disambiguation problem itself, as in the case of “alvo” (aim as target and not goal) which becomes more clear in the Portuguese than the English version.

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Notes

  1. 1.

    https://iate.europa.eu/.

  2. 2.

    http://www.loa.istc.cnr.it/old/DOLCE.html.

  3. 3.

    http://ontotext.com/proton.

  4. 4.

    https://github.com/bfo-ontology/BFO/wiki.

  5. 5.

    http://agatha-osi.com/en/.

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Author information

Authors and Affiliations

  1. Pontifical Catholic University of Rio Grande do Sul, Porto Alegre, Brazil

    Daniela Schmidt, Avner Dal Bosco & Renata Vieira

  2. Toulouse University, Toulouse, France

    Cássia Trojahn

  3. Évora University, Évora, Portugal

    Renata Vieira & Paulo Quaresma

Authors
  1. Daniela Schmidt
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  2. Avner Dal Bosco
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  3. Cássia Trojahn
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  4. Renata Vieira
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  5. Paulo Quaresma
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Corresponding author

Correspondence to Daniela Schmidt .

Editor information

Editors and Affiliations

  1. University of Évora, Evora, Portugal

    Paulo Quaresma

  2. University of Évora, Evora, Portugal

    Renata Vieira

  3. University of São Paulo, São Carlos, Brazil

    Sandra Aluísio

  4. University of Lisbon, Lisbon, Portugal

    Helena Moniz

  5. INESC-ID/ISCTE-IUL, Lisbon, Portugal

    Fernando Batista

  6. University of Évora, Evora, Portugal

    Teresa Gonçalves

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Schmidt, D., Dal Bosco, A., Trojahn, C., Vieira, R., Quaresma, P. (2020). Aligning IATE Criminal Terminology to SUMO. In: Quaresma, P., Vieira, R., Aluísio, S., Moniz, H., Batista, F., Gonçalves, T. (eds) Computational Processing of the Portuguese Language. PROPOR 2020. Lecture Notes in Computer Science(), vol 12037. Springer, Cham. https://doi.org/10.1007/978-3-030-41505-1_10

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  • DOI: https://doi.org/10.1007/978-3-030-41505-1_10

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