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Management of Implicit Ontology Changes Generated by Non-conservative JSON Instance Updates in the τJOWL Environment

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Advances in Information Systems, Artificial Intelligence and Knowledge Management (ICIKS 2023)

Part of the book series: Lecture Notes in Business Information Processing ((LNBIP,volume 486))

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Abstract

τJOWL (Temporal OWL 2 from Temporal JSON) is a framework we proposed to allow users of Big Data projects to automatically create, with the closed world assumption (CWA), a temporal OWL 2 ontology from time-varying JSON-based Big Data. Such an ontology, providing the semantics to the data, facilitates complex tasks like Big Data querying, analytics and reasoning, in an environment that supports temporal versioning at both data instance and schema levels. Update operations on temporal JSON Big Data may not respect the JSON Schema associated to them, like renaming a JSON object or a JSON object member, or replacing the current value of an object member with a new one that is not conformant to its type as specified in the corresponding JSON Schema. These update operations are called “non-conservative updates” and require implicit JSON Schema changes to be performed so that they could be correctly executed. Such JSON Schema changes need then to be propagated to the OWL 2 ontology in order to maintain semantic alignment. To this purpose, in this paper, we propose an approach for automatic management of implicit OWL 2 ontology schema change operations that are generated by non-conservative updates to temporal JSON Big Data instances, in the τJOWL framework.

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Authors and Affiliations

  1. MIRACL Laboratory, Faculty of Economics and Management, University of Sfax, Sfax, Tunisia

    Safa Brahmia, Zouhaier Brahmia & Rafik Bouaziz

  2. Department of Computer Science and Engineering (DISI), University of Bologna, Bologna, Italy

    Fabio Grandi

Authors
  1. Safa Brahmia
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  2. Zouhaier Brahmia
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  3. Fabio Grandi
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  4. Rafik Bouaziz
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Correspondence to Zouhaier Brahmia .

Editor information

Editors and Affiliations

  1. ESC Amiens and University of Picardie Jules Verne, Amiens, France

    Inès Saad

  2. University of Paris Dauphine-PSL, Paris, France

    Camille Rosenthal-Sabroux

  3. University of Sfax, Sfax, Tunisia

    Faiez Gargouri

  4. University of Portsmouth, Portsmouth, UK

    Salem Chakhar

  5. University of Portsmouth, Portsmouth, UK

    Nigel Williams

  6. University of Portsmouth, Portsmouth, UK

    Ella Haig

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Brahmia, S., Brahmia, Z., Grandi, F., Bouaziz, R. (2024). Management of Implicit Ontology Changes Generated by Non-conservative JSON Instance Updates in the τJOWL Environment. In: Saad, I., Rosenthal-Sabroux, C., Gargouri, F., Chakhar, S., Williams, N., Haig, E. (eds) Advances in Information Systems, Artificial Intelligence and Knowledge Management. ICIKS 2023. Lecture Notes in Business Information Processing, vol 486. Springer, Cham. https://doi.org/10.1007/978-3-031-51664-1_15

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  • DOI: https://doi.org/10.1007/978-3-031-51664-1_15

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