Results for 'bioontologies'

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  1. How to Distinguish Parthood from Location in Bioontologies.Stefan Schulz, Philipp Daumke, Barry Smith & Udo Hahn - 2005 - In Stefan Schulz, Philipp Daumke, Barry Smith & Udo Hahn (eds.), Proceedings of the AMIA Symposium. American Medical Informatics Association. pp. 669-673.
    The pivotal role of the relation part-of in the description of living organisms is widely acknowledged. Organisms are open systems, which means that in contradistinction to mechanical artifacts they are characterized by a continuous flow and exchange of matter. A closer analysis of the spatial relations in biological organisms reveals that the decision as to whether a given particular is part-of a second particular or whether it is only contained-in the second particular is often controversial. We here propose a rule-based (...)
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  2. SNOMED CT standard ontology based on the ontology for general medical science.Shaker El-Sappagh, Francesco Franda, Ali Farman & Kyung-Sup Kwak - 2018 - BMC Medical Informatics and Decision Making 76 (18):1-19.
    Background: Systematized Nomenclature of Medicine—Clinical Terms (SNOMED CT, hereafter abbreviated SCT) is acomprehensive medical terminology used for standardizing the storage, retrieval, and exchange of electronic healthdata. Some efforts have been made to capture the contents of SCT as Web Ontology Language (OWL), but theseefforts have been hampered by the size and complexity of SCT. Method: Our proposal here is to develop an upper-level ontology and to use it as the basis for defining the termsin SCT in a way that will (...)
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  3. (1 other version)Ontologies for the life sciences.Steffen Schulze-Kremer & Barry Smith - 2005 - In Schulze-Kremer Steffen & Smith Barry (eds.), Encyclopedia of Genetics, Genomics, Proteomics and Bioinformatics, vol. 4. Wiley.
    Where humans can manipulate and integrate the information they receive in subtle and ever changing ways from context to context, computers need structured and context-free background information of a sort which ontologies can help to provide. A domain ontology captures the stable, highly general and commonly accepted core knowledge for an application domain. The domain at issue here is that of the life sciences, in particular molecular biology and bioinformatics. Contemporary life science research includes components drawn from physics, chemistry, mathematics, (...)
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