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Dealing with Uncertain and Imprecise Time Intervals in OWL2: A Possibility Theory-Based Approach

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Research Challenges in Information Science (RCIS 2021)

Part of the book series: Lecture Notes in Business Information Processing ((LNBIP,volume 415))

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Abstract

Dealing with temporal data imperfections in Semantic Web is still under focus. In this paper, we propose an approach based on the possibility theory to represent and reason about time intervals that are simultaneously uncertain and imprecise in OWL2. We start by calculating the possibility and necessity degrees related to the imprecision and uncertainty of the handled temporal data. Then, we propose an ontology-based representation for the handled data associated with the obtained measures and associative qualitative relations. For the reasoning, we extend Allen’s interval algebra to treat both imprecision and uncertainty. All the proposed relations preserve the desirable properties of the original algebra and can be used for temporal reasoning by means of a transitivity table. We create a possibilistic temporal ontology based on the proposed semantic representation and the extension of Allen’s relations. Inferences are based on a set of SWRL rules. Finally, we implement a prototype based on this ontology and we conduct a case study applied to temporal data entered by Alzheimer’s patients in the context of a memory prosthesis.

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Notes

  1. 1.

    https://cedric.cnam.fr/isid/ontologies/PossibilisticTemporalOnto.owl.

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Authors and Affiliations

  1. MIRACL Laboratory, University of Sfax, Sfax, Tunisia

    Nassira Achich, Fatma Ghorbel & Faiez Gargouri

  2. CEDRIC Laboratory, Conservatoire National des Arts et Métiers (CNAM), Paris, France

    Nassira Achich, Fatma Ghorbel, Fayçal Hamdi & Elisabeth Metais

Authors
  1. Nassira Achich
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  2. Fatma Ghorbel
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  3. Fayçal Hamdi
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  4. Elisabeth Metais
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  5. Faiez Gargouri
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Correspondence to Nassira Achich .

Editor information

Editors and Affiliations

  1. Conservatoire National des Arts et Métiers, Paris, France

    Samira Cherfi

  2. Fondazione Bruno Kessler, Trento, Italy

    Anna Perini

  3. University Paris 1 Panthéon-Sorbonne, Paris, France

    Selmin Nurcan

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Achich, N., Ghorbel, F., Hamdi, F., Metais, E., Gargouri, F. (2021). Dealing with Uncertain and Imprecise Time Intervals in OWL2: A Possibility Theory-Based Approach. In: Cherfi, S., Perini, A., Nurcan, S. (eds) Research Challenges in Information Science. RCIS 2021. Lecture Notes in Business Information Processing, vol 415. Springer, Cham. https://doi.org/10.1007/978-3-030-75018-3_35

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  • DOI: https://doi.org/10.1007/978-3-030-75018-3_35

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  • Publisher Name: Springer, Cham

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  • Online ISBN: 978-3-030-75018-3

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