Abstract
Exchanging huge volumes of data is a common concern in various fields. One issue has been the difficulty of cross-domain sharing of knowledge because of its highly heterogeneous nature. We constructed an ontological model of abnormal states from the generic to domain-specific level. We propose a unified form to describe an abnormal state as a "property", and then divide it into an "attribute" and a "value" in a qualitative form. This approach promotes interoperability and flexibility of quantitative raw data, qualitative information, and generic/abstract knowledge. By developing an is-a hierarchal tree and combining causal chains of diseases, 17,000 abnormal states from 6000 diseases can be captured as generic causal relations and are reusable across 12 medical departments.
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Yamagata, Y., Kou, H., Kozaki, K., Mizoguchi, R., Imai, T., Ohe, K. (2013). Ontological Modeling of Interoperable Abnormal States. In: Takeda, H., Qu, Y., Mizoguchi, R., Kitamura, Y. (eds) Semantic Technology. JIST 2012. Lecture Notes in Computer Science, vol 7774. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-37996-3_3
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DOI: https://doi.org/10.1007/978-3-642-37996-3_3
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