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Ontology of Time and Situoids in Medical Conceptual Modeling

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Artificial Intelligence in Medicine (AIME 2005)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 3581))

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Abstract

Time, events, changes, and processes play a major role in medical conceptual modeling. Representation of time-structures and reasoning about time-oriented medical data are important theoretical and practical research areas. We assume that a formal representation of temporal knowledge must use as a framework some top-level ontology which describes the most general categories of temporal entities. In the current paper we discuss an ontology of time and situoids which is part of the top-level ontology GFO (General Formal Ontology) being developed by the Onto-Med research group [1]. The expressive power of GFO and its usability in conceptual modeling is tested by Onto-Med by carrying out a number of case studies in several fields of medicine and biomedicine. In the present paper we report on results of reconstructing the temporal-abstraction ontology presented by Y. Shahar [2] within GFO. In carrying out this investigation it turns out that a number of aspects in [2] needs further clarification and foundation.

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Herre, H., Heller, B. (2005). Ontology of Time and Situoids in Medical Conceptual Modeling. In: Miksch, S., Hunter, J., Keravnou, E.T. (eds) Artificial Intelligence in Medicine. AIME 2005. Lecture Notes in Computer Science(), vol 3581. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11527770_39

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  • DOI: https://doi.org/10.1007/11527770_39

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-27831-3

  • Online ISBN: 978-3-540-31884-2

  • eBook Packages: Computer ScienceComputer Science (R0)

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