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Mexican International Conference on Artificial Intelligence

MICAI 2020: Advances in Computational Intelligence pp 122–133Cite as

Ontological Model to Represent Information About Songs

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Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 12469))

Abstract

The purpose of this article is to carry out the design of an ontological model for the domain of songs, that is, its purpose is to cover the relevant information corresponding to the characteristic data currently sought to be known in the songs from different music genres, such as title, performer, album which it belongs, duration, release date, among many others. It is wanted for this model to answer queries made by users when they are facing the need to know a specific data. For this work realization, the Grüninger and Fox’s methodology design phases, proper for the ontologies design, are followed, along with this, this document includes the proposal of a scenario, competition questions, definition of classes, properties, formalization and evaluation through the responses obtained through the SPARQL query language. Furthermore, the implementation of the presented ontological model was carried out using the software known as Protégé.

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Acknowledgment

This work is supported by the Sectorial Research Fund for Education with the CONACyT CB/257357 project and by the VIEP-BUAP 100409344-VIEP2019 project.

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Authors and Affiliations

  1. Faculty of Computer Science, Benemérita Universidad Autónoma de Puebla, 14 sur y Av. San Claudio C.U., Puebla, Puebla, México

    Luis Yael Méndez-Sánchez & Mireya Tovar

Authors
  1. Luis Yael Méndez-Sánchez
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  2. Mireya Tovar
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Corresponding author

Correspondence to Mireya Tovar .

Editor information

Editors and Affiliations

  1. Facultad de Ingeniería, Universidad Panamericana, Mexico City, Mexico

    Lourdes Martínez-Villaseñor

  2. Universidad Autónoma Metropolitana, Mexico City, Mexico

    Oscar Herrera-Alcántara

  3. Facultad de Ingeniería, Universidad Panamericana, Mexico City, Mexico

    Hiram Ponce

  4. Universidad Autónoma del Estado de Hidalgo, Hidalgo, Mexico

    Félix A. Castro-Espinoza

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Méndez-Sánchez, L.Y., Tovar, M. (2020). Ontological Model to Represent Information About Songs. In: Martínez-Villaseñor, L., Herrera-Alcántara, O., Ponce, H., Castro-Espinoza, F.A. (eds) Advances in Computational Intelligence. MICAI 2020. Lecture Notes in Computer Science(), vol 12469. Springer, Cham. https://doi.org/10.1007/978-3-030-60887-3_12

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  • DOI: https://doi.org/10.1007/978-3-030-60887-3_12

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-60886-6

  • Online ISBN: 978-3-030-60887-3

  • eBook Packages: Computer ScienceComputer Science (R0)

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