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• W2808963802 abstract "Measuring concept similarity in ontologies is central to the functioning of many techniques such as ontology matching, ontology learning, and many related applications in the bio-medical domain. In this paper, we explore the relationship between clinical thought and analogy. More specifically, the paper formalizes the process of analogical reasoning in the phrase of diagnosis. That is, the phrase in which physicians have to reach an accurate explanation for the symptoms and signs found in a patient. Our approach is driven by the developing similarity measure in Description Logics called (mathsf {sim}^pi ). Finally, the paper relates the approach to others and discuss future directions." @default.
• W2808963802 created "2018-06-29" @default.
• W2808963802 creator A5039954220 @default.
• W2808963802 creator A5055898374 @default.
• W2808963802 date "2018-01-01" @default.
• W2808963802 modified "2023-09-23" @default.
• W2808963802 title "Analogical Reasoning in Clinical Practice with Description Logic $$mathcal {ELH}$$" @default.
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• W2808963802 doi "https://doi.org/10.1007/978-3-319-93581-2_10" @default.
• W2808963802 hasPublicationYear "2018" @default.
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