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From Textual Information Sources to Linked Data in the Agatha Project

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Declarative Programming and Knowledge Management (INAP 2019, WLP 2019, WFLP 2019)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 12057))

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Abstract

Automatic reasoning about textual information is a challenging task in modern Natural Language Processing (NLP) systems. In this work we describe our proposal for representing and reasoning about Portuguese documents by means of Linked Data like ontologies and thesauri. Our approach resorts to a specialized pipeline of natural language processing (part-of-speech tagger, named entity recognition, semantic role labeling) to populate an ontology for the domain of criminal investigations. The provided architecture and ontology are language independent. Although some of the NLP modules are language dependent, they can be built using adequate AI methodologies.

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Notes

  1. 1.

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

  2. 2.

    https://talp-upc.gitbook.io/freeling-4-0-user-manual/tagsets/tagset-pt.

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Acknowledgments

The authors would like to thank COMPETE 2020, PORTUGAL 2020 Program, the European Union, and ALENTEJO 2020 for supporting this research as part of Agatha Project SI & IDT number 18022 (Intelligent analysis system of open of sources information for surveillance/crime control). The authors would also like to thank LISP - Laboratory of Informatics, Systems and Parallelism.

Author information

Authors and Affiliations

  1. LISP - Laboratory of Informatics, Systems and Parallelism, Universidade de Évora, Evora, Portugal

    Paulo Quaresma, Vitor Beires Nogueira, Kashyap Raiyani, Roy Bayot & Teresa Gonçalves

Authors
  1. Paulo Quaresma
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  2. Vitor Beires Nogueira
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  3. Kashyap Raiyani
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  4. Roy Bayot
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  5. Teresa Gonçalves
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Corresponding author

Correspondence to Vitor Beires Nogueira .

Editor information

Editors and Affiliations

  1. Brandenburgische Technische Universität Cottbus-Senftenberg, Cottbus, Germany

    Petra Hofstedt

  2. Universidade de Évora, Évora, Portugal

    Salvador Abreu

  3. hwtk Berlin, Berlin, Germany

    Ulrich John

  4. Westfälische Wilhelms-Universität Münster, Münster, Germany

    Herbert Kuchen

  5. Universität Würzburg, Würzburg, Germany

    Dietmar Seipel

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Quaresma, P., Beires Nogueira, V., Raiyani, K., Bayot, R., Gonçalves, T. (2020). From Textual Information Sources to Linked Data in the Agatha Project. In: Hofstedt, P., Abreu, S., John, U., Kuchen, H., Seipel, D. (eds) Declarative Programming and Knowledge Management. INAP WLP WFLP 2019 2019 2019. Lecture Notes in Computer Science(), vol 12057. Springer, Cham. https://doi.org/10.1007/978-3-030-46714-2_5

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  • DOI: https://doi.org/10.1007/978-3-030-46714-2_5

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-46713-5

  • Online ISBN: 978-3-030-46714-2

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