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Design of a data storage and retrieval ontology for the efficient integration of information in artificial intelligence systems

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Abstract

This article proposes an innovative approach to designing an ontology for data storage and retrieval, effectively integrating information into artificial intelligence systems. The ontology, named "Integrated ontology approach for efficient data storage and retrieval in artificial intelligence", offers a coherent and unified representation of knowledge using computational ontology techniques. Our approach aims to provide a generic solution that can be adapted to different domains, beyond vocational training. Using vocational training as a case study, we demonstrate the relevance of our approach, while highlighting its ability to be extended to other domains such as health or recommendation systems. Our contribution lies at the intersection of ontological modelling, data management and artificial intelligence, offering a relevant and innovative solution for the efficient integration of information into artificial intelligence systems. Thanks to solid conceptual foundations and a proven methodology, we present "Integrated ontology approach for efficient data storage and retrieval in artificial intelligence" as a versatile and relevant solution for data integration in artificial intelligence systems.

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Funding

This research is self-funded by the corresponding author and does not have any external sources of funding.

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Authors and Affiliations

  1. Université Virtuelle de Côte d’Ivoire, Abidjan, Côte d’Ivoire

    Serge Stephane Aman, Behou Gerard N’guessan & Tiemoman Kone

  2. Université Felix Houphouët Boigny Côte d’Ivoire, Abidjan, Côte d’Ivoire

    Djama Djoman Alfred Agbo

  3. Université de Cocody, Abidjan, Côte d’Ivoire

    Behou Gerard N’guessan

  4. Ivory Coast Virtual University, Abidjan, Côte d’Ivoire

    Tiemoman Kone

Authors
  1. Serge Stephane Aman
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  2. Djama Djoman Alfred Agbo
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  3. Behou Gerard N’guessan
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  4. Tiemoman Kone
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Corresponding author

Correspondence to Serge Stephane Aman.

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Due to the nature of our research, no human subjects were involved. Therefore, no ethical approval was required.

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DOI: https://doi.org/10.17026/dans-2zm-knp4

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Aman, S.S., Agbo, D.D.A., N’guessan, B.G. et al. Design of a data storage and retrieval ontology for the efficient integration of information in artificial intelligence systems. Int. j. inf. tecnol. 16, 1743–1761 (2024). https://doi.org/10.1007/s41870-023-01583-2

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  • DOI: https://doi.org/10.1007/s41870-023-01583-2

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