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An Ontology for Tuberculosis Surveillance System

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Knowledge Graphs and Semantic Web (KGSWC 2023)

Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 14382))

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Abstract

Existing epidemiological surveillance systems use relational databases to store data and the SQL language to get information and automatically build statistics tables and graphics. However, a lack of logical and machine-readable relations among relational databases prevent computer-assisted automated reasoning and useful information may be lost. To overcome this difficulty, we propose the use of an ontology based-approach. Given that existing ontologies for epidemiological surveillance of TB does not exist, in this article, we present how we developed with the help of an epidemiologist an ontology for TB Surveillance System (O4TBSS). Currently, this ontology contains 807 classes, 117 ObjectProperties, 19 DataProperties.

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Authors and Affiliations

  1. Department of Computer Science, University of Yaounde 1, Yaounde, Cameroon

    Azanzi Jiomekong & Hippolyte Tapamo

  2. University Alioune Diop de Bambey, EIR-IMTICE, Bambey, Senegal

    Gaoussou Camara

Authors
  1. Azanzi Jiomekong
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  2. Hippolyte Tapamo
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  3. Gaoussou Camara
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Corresponding author

Correspondence to Azanzi Jiomekong .

Editor information

Editors and Affiliations

  1. Autonomous University of Tamaulipas, Ciudad Victoria, Mexico

    Fernando Ortiz-Rodriguez

  2. University of La Rioja, Madrid, Spain

    Boris Villazón-Terrazas

  3. Autonomous University of Tamaulipas, Ciudad Victoria, Mexico

    Sanju Tiwari

  4. University of Zaragoza, Zaragoza, Spain

    Carlos Bobed

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Jiomekong, A., Tapamo, H., Camara, G. (2023). An Ontology for Tuberculosis Surveillance System. In: Ortiz-Rodriguez, F., Villazón-Terrazas, B., Tiwari, S., Bobed, C. (eds) Knowledge Graphs and Semantic Web. KGSWC 2023. Lecture Notes in Computer Science, vol 14382. Springer, Cham. https://doi.org/10.1007/978-3-031-47745-4_1

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  • DOI: https://doi.org/10.1007/978-3-031-47745-4_1

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-031-47744-7

  • Online ISBN: 978-3-031-47745-4

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