Representing vision and blindness.

Journal: Journal of biomedical semantics
Published Date:

Abstract

BACKGROUND: There have been relatively few attempts to represent vision or blindness ontologically. This is unsurprising as the related phenomena of sight and blindness are difficult to represent ontologically for a variety of reasons. Blindness has escaped ontological capture at least in part because: blindness or the employment of the term 'blindness' seems to vary from context to context, blindness can present in a myriad of types and degrees, and there is no precedent for representing complex phenomena such as blindness.

Authors

  • Patrick L Ray
    Department of Philosophy, University at Buffalo, Buffalo, NY USA.
  • Alexander P Cox
    Department of Philosophy, University at Buffalo, Buffalo, NY USA.
  • Mark Jensen
    University at Buffalo, Buffalo, New York, United States of America.
  • Travis Allen
    Department of Philosophy, University at Buffalo, Buffalo, NY USA.
  • William Duncan
    New York State Center of Excellence in Bioinformatics and Life Sciences, University at Buffalo, Buffalo, NY USA.
  • Alexander D Diehl
    Molecular Biology and Biochemistry Department, Simon Fraser University, Burnaby, BC V5A 1S6, Canada, Terry Fox Laboratory, British Columbia Cancer Agency, Vancouver, BC V5Z 1L3, Canada, Department of Neurology, University at Buffalo School of Medicine and Biomedical Sciences, Buffalo, NY 14203, USA, Fred Hutchinson Cancer Research Center, Seattle, WA 98109, USA, Institute for Immunity, Transplantation and Infection, Stanford University School of Medicine, Stanford, CA 94305, USA, National Heart, Lung and Blood Institute, National Institutes of Health, Bethesda, MD 20892, USA, Center for Human Immunology, Autoimmunity and Inflammation, National Institutes of Health, Bethesda, MD 20892, USA, School of Dental Medicine, University at Buffalo, NY 14214-8006, USA, J. Craig Venter Institute, La Jolla, CA 92037, USA, Department of Pathology, University of California, San Diego, CA 92093, USA.