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Categorical Representation of Evolving Structure of an Ontology for Clinical Fungus

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Artificial Intelligence in Medicine (AIME 2007)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 4594))

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Abstract

With increasing popularity of using ontologies, many industrial and clinical applications have employed ontologies as their conceptual backbone. Ontologies try to capture knowledge from a domain of interest and when the knowledge changes, the definitions will be altered. We study change management in the FungalWeb Ontology, which is the result of integrating numerous biological databases and web accessible textual resources. The fungal taxonomy is currently unstable and evolves over time. This evolution can be seen in both nomenclature and the taxonomic structure. In an experiment we have focused on changes in medical species of fungus which can potentially alter the related disease name and description in an integrated clinical system. In order to address certain aspects of representation of changes in an ontology driven clinical application we propose a methodology based on category theory as a mathematical notation, which is independent of a specific choice of ontology language and any particular implementation.

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Authors and Affiliations

  1. Department of Computer Science and Software Engineering, Concordia University, H3G1M8 Montreal, Quebec, Canada

    Arash Shaban-Nejad & Volker Haarslev

Authors
  1. Arash Shaban-Nejad
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  2. Volker Haarslev
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Riccardo Bellazzi Ameen Abu-Hanna Jim Hunter

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Shaban-Nejad, A., Haarslev, V. (2007). Categorical Representation of Evolving Structure of an Ontology for Clinical Fungus. In: Bellazzi, R., Abu-Hanna, A., Hunter, J. (eds) Artificial Intelligence in Medicine. AIME 2007. Lecture Notes in Computer Science(), vol 4594. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-73599-1_37

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  • DOI: https://doi.org/10.1007/978-3-540-73599-1_37

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-73598-4

  • Online ISBN: 978-3-540-73599-1

  • eBook Packages: Computer ScienceComputer Science (R0)

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