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Ontology as the core discipline of biomedical informatics: Legacies of the past and recommendations for the future direction of research

In Gordana Dodig Crnkovic & Susan Stuart (eds.), Computation, Information, Cognition: The Nexus and the Liminal. Cambridge Scholars Publishing. pp. 104-122 (2007)

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  1. Barry Smith an sich.Gerald J. Erion & Gloria Zúñiga Y. Postigo (eds.) - 2017 - Cosmos + Taxis.
    Festschrift in Honor of Barry Smith on the occasion of his 65th Birthday. Published as issue 4:4 of the journal Cosmos + Taxis: Studies in Emergent Order and Organization. Includes contributions by Wolfgang Grassl, Nicola Guarino, John T. Kearns, Rudolf Lüthe, Luc Schneider, Peter Simons, Wojciech Żełaniec, and Jan Woleński.
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  • Concept systems and ontologies: Recommendations for basic terminology.Gunnar O. Klein & Barry Smith - 2010 - Transactions of the Japanese Society for Artificial Intelligence 25 (3):433-441.
    This is the third draft of a paper that aims to clarify the apparent contradictions in the views presented in certain standards and other specifications of health informatics systems, contradictions which come to light when the latter are evaluated from the perspective of realist philosophy. One of the origins of this document was Klein’s discussion paper of 2005-07-02 entitled “Conceptology vs Reality” and the responses from Smith, as well as the several hours of discussions during the 2005 MIE meeting in (...)
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  • Identification and Classification of Diseases: Fundamental Problems in Medical Ontology and Epistemology.Lennart Nordenfelt - 2013 - Studia Philosophica Estonica 6 (2):6-21.
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  • Introduction: What is Ontology for?Katherine Munn - 2008 - In Katherine Munn & Barry Smith (eds.), Applied Ontology: An Introduction. Walter de Gruyter. pp. 7-19.
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  • Applied Ontology: An Introduction.Katherine Munn & Barry Smith (eds.) - 2008 - Frankfurt: ontos.
    Ontology is the philosophical discipline which aims to understand how things in the world are divided into categories and how these categories are related together. This is exactly what information scientists aim for in creating structured, automated representations, called 'ontologies,' for managing information in fields such as science, government, industry, and healthcare. Currently, these systems are designed in a variety of different ways, so they cannot share data with one another. They are often idiosyncratically structured, accessible only to those who (...)
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