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A Survey on Biomedical Knowledge Representation for Robotic Orthopaedic Surgery

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Robot Intelligence Technology and Applications 2

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 274))

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Abstract

The paper presents a survey of the efforts and methods presented by the research community to represent knowledge to be used, in a machine readable format, in the biomedical field. From the surveyed ontologies, the base ontologies for the conceptual model of the Ontology for Robotic Orthopaedic Surgery (OROSU), are defined. Methods for merging the base ontologies to obtain the OROSU, are discussed, while the under development framework is briefly presented.

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Author information

Authors and Affiliations

  1. School of Technology, Polytechnic Institute of Castelo Branco, Castelo Branco, Portugal

    Paulo J. S. Gonçalves & Pedro M. B. Torres

  2. Center of Intelligent Systems, IDMEC / LAETA, Technical University of Lisbon, Lisbon, Portugal

    Paulo J. S. Gonçalves & Pedro M. B. Torres

Authors
  1. Paulo J. S. Gonçalves
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  2. Pedro M. B. Torres
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Corresponding author

Correspondence to Paulo J. S. Gonçalves .

Editor information

Editors and Affiliations

  1. Electrical Engineering, KAIST, Daejeon, Korea, Republic of (South Korea)

    Jong-Hwan Kim

  2. Computer and Information Technology, Purdue University, West Lafayette, Indiana, USA

    Eric T . Matson

  3. Civil and Environmental Engg., KAIST, Daejeon, Korea, Republic of (South Korea)

    Hyun Myung

  4. Department of Mechanical Engineering, Auckland University, Auckland, New Zealand

    Peter Xu

  5. University of Waterloo, Waterloo, Ontario, Canada

    Fakhri Karray

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© 2014 Springer International Publishing Switzerland

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Gonçalves, P.J.S., Torres, P.M.B. (2014). A Survey on Biomedical Knowledge Representation for Robotic Orthopaedic Surgery. In: Kim, JH., Matson, E., Myung, H., Xu, P., Karray, F. (eds) Robot Intelligence Technology and Applications 2. Advances in Intelligent Systems and Computing, vol 274. Springer, Cham. https://doi.org/10.1007/978-3-319-05582-4_22

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  • DOI: https://doi.org/10.1007/978-3-319-05582-4_22

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-05581-7

  • Online ISBN: 978-3-319-05582-4

  • eBook Packages: EngineeringEngineering (R0)

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