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Numeric and Symbolic Knowledge Representation of Cortex Anatomy Using Web Technologies

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Artificial Intelligence in Medicine (AIME 2001)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 2101))

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Abstract

We propose an ontology of the brain cortex anatomy representing both numeric and symbolic knowledge. Implementation with web technologies facilitates the ontology’s dissemination and reuse in different application contexts. This model references the main terminological sources and can be integrated into larger scale models. It was instantiated as an XML file encompassing anatomical features of the frontal, temporal and parietal lobes. A standalone Java application and an HTML based one have been developed in order to illustrate the knowledge base flexibility. They are both fully interactive with 3D VRML scenes representing the shapes of brain sulci.

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Author information

Authors and Affiliations

  1. UPRES-EA “Intégration de données multimédia en anatomie et physiologie cérébrale pour l’aide èa la décision et l'enseignement”, Université de Rennes 1, F35043, Rennes cedex, France

    Olivier Dameron, Bernard Gibaud & Xavier Morandi

  2. Laboratoire d’anatomie, Faculté de Médecine, F35043, Rennes cedex, France

    Xavier Morandi

Authors
  1. Olivier Dameron
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  2. Bernard Gibaud
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  3. Xavier Morandi
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Editor information

Editors and Affiliations

  1. Department of Computer Science, University of Pavia, Via Ferrata, 1, 27100, Pavia, Italy

    Silvana Quaglini

  2. Departamento de Informática Faculdade de Ciências e Tecnologia, Universidade Nova de Lisboa, 2825-114, Caparica, Portugal

    Pedro Barahona

  3. Department of Medical Informatics and Image Analysis, Aalborg University, Fredrik Bajersv ej 7D, 9220, AlborgØst, Denmark

    Steen Andreassen

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© 2001 Springer-Verlag Berlin Heidelberg

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Dameron, O., Gibaud, B., Morandi, X. (2001). Numeric and Symbolic Knowledge Representation of Cortex Anatomy Using Web Technologies. In: Quaglini, S., Barahona, P., Andreassen, S. (eds) Artificial Intelligence in Medicine. AIME 2001. Lecture Notes in Computer Science(), vol 2101. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-48229-6_49

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  • DOI: https://doi.org/10.1007/3-540-48229-6_49

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-42294-5

  • Online ISBN: 978-3-540-48229-1

  • eBook Packages: Springer Book Archive

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