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  1. Ontology as the Core Discipline of Biomedical Informatics: Legacies of the Past and Recommendations for the Future Direction of Research.Barry Smith & Werner Ceusters - 2007 - In Gordana Dodig Crnkovic & Susan Stuart (eds.), Computation, Information, Cognition: The Nexus and the Liminal. Cambridge Scholars Publishing. pp. 104-122.
    The automatic integration of rapidly expanding information resources in the life sciences is one of the most challenging goals facing biomedical research today. Controlled vocabularies, terminologies, and coding systems play an important role in realizing this goal, by making it possible to draw together information from heterogeneous sources – for example pertaining to genes and proteins, drugs and diseases – secure in the knowledge that the same terms will also represent the same entities on all occasions of use. In the (...)
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  • A Taxonomy of Types of Granularity.C. Maria Keet - unknown
    Multiple different understandings and uses exist of what granularity is and how to implement it, where the former influences success of the latter with regards to storing granular data and using granularity for reasoning over the data or information. We propose a taxonomy of types of granularity and discuss for each leaf type how the entities or instances relate within its granular level. Such unambiguous distinctions can guide a conceptual modeler to better distinguish between the types of granularity and the (...)
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  • Toward Cross-Granular Querying Over Modularized Ontologies.C. Maria Keet - unknown
    To address the problems of both structured coordination of linked and modularised ontologies and to query a large dynamic ontology system, we propose a basic granularity framework and a set of functions to query such a granulated system. The granularity framework enforces a constrained and structured modularization. This facilitates automation of both dividing a large body of represented information as well as relinking the pieces. The functions enable basic cross-granular querying in a transparent and scalable way, as they rely on (...)
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