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A Logic-Based Question Answering System for Cultural Heritage

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Logics in Artificial Intelligence (JELIA 2019)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 11468))

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Abstract

Question Answering (QA) systems attempt to find direct answers to user questions posed in natural language. This work presents a QA system for the closed domain of Cultural Heritage. Our solution gradually transforms input questions into queries that are executed on a CIDOC-compliant ontological knowledge base. Questions are processed by means of a rule-based syntactic classification module running an Answer Set Programming system. The proposed solution is being integrated into a fully-fledged commercial system developed within the PIUCULTURA project, funded by the Italian Ministry for Economic Development.

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Notes

  1. 1.

    The safety is in the folklore of logic-based languages [12].

  2. 2.

    http://medialab.di.unipi.it/wiki/Tanl_POS_Tagset.

  3. 3.

    https://opennlp.apache.org.

  4. 4.

    https://github.com/aciapetti/opennlp-italian-models.

  5. 5.

    http://www.maltparser.org/.

  6. 6.

    http://www.britishmuseum.org/.

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Acknowledgments

This work was partially supported by the Italian Ministry of Economic Development under project “PIUCultura (Paradigmi Innovativi per l’Utilizzo della Cultura)” n.F/020016/01-02/X27.

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Authors and Affiliations

  1. Department of Mathematics and Computer Science, University of Calabria, Rende, Italy

    Bernardo Cuteri, Kristian Reale & Francesco Ricca

Authors
  1. Bernardo Cuteri
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  2. Kristian Reale
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  3. Francesco Ricca
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Correspondence to Bernardo Cuteri .

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Editors and Affiliations

  1. University of Calabria, Rende, Italy

    Francesco Calimeri

  2. University of Calabria, Rende, Italy

    Nicola Leone

  3. Mathematics and Computer Science, University of Calabria, Rende, Italy

    Marco Manna

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Cuteri, B., Reale, K., Ricca, F. (2019). A Logic-Based Question Answering System for Cultural Heritage. In: Calimeri, F., Leone, N., Manna, M. (eds) Logics in Artificial Intelligence. JELIA 2019. Lecture Notes in Computer Science(), vol 11468. Springer, Cham. https://doi.org/10.1007/978-3-030-19570-0_35

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  • DOI: https://doi.org/10.1007/978-3-030-19570-0_35

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