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Ontological Modeling of Interoperable Abnormal States

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Part of the Lecture Notes in Computer Science book series (LNISA,volume 7774)

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.

Keywords

  • ontology
  • abnormal state
  • property
  • disease
  • interoperability

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References

  1. Grenon, P., et al.: Biodynamic Ontology: Applying BFO in the Biomedical Domain. In: Pisanelli, D.M. (ed.) Ontologies in Medicine, pp. 20–38. IOS, Amsterdam (2004)

    Google Scholar 

  2. Guarino, N.: Some Ontological Principles for Designing Upper Level Lexical Resources. In: Proc. of International Conference on Lexical Resources and Evaluation (1998)

    Google Scholar 

  3. Scheuermann, R.H., Ceusters, W., Smith, B.: Toward an Ontological Treatment of Disease and Diagnosis. In: Proc. of the 2009 AMIA Summit on Translational Bioinformatics, San Francisco, pp. 116–120 (2009)

    Google Scholar 

  4. Mizoguchi, R.: YAMATO: Yet Another More Advanced Top-level Ontology. In: Proceedings of the Sixth Australasian Ontology Workshop, pp. 1–16 (2010)

    Google Scholar 

  5. Kuzuya, T., et al.: Report of the Committee on the Classification and Diagnostic Criteria of Diabetes Mellitus. Journal of the Japan Diabetes Society 53(6), 450–467 (2010)

    Google Scholar 

  6. Mizoguchi, R., et al.: River Flow Model of Diseases. In: Proc. of ICBO 2011, pp. 63–70 (2011)

    Google Scholar 

  7. OpenGALEN, http://www.opengalen.org/

  8. Gkoutos, G.V., et al.: Ontologies for the description of mouse phenotypes. Comp. Funct. Genomics 5, 545–551 (2004)

    CrossRef  Google Scholar 

  9. Osborne, J.D., et al.: Annotating the human genome with Disease Ontology. BMC Genomics 10(1), S6 (2009)

    CrossRef  Google Scholar 

  10. Cowell, L.G., Smith, B.: Infectious Disease Ontology. In: Sintchenko, V. (ed.) Infectious Disease Informatics, ch. 19, pp. 373–395 (2010)

    Google Scholar 

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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

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-37995-6

  • Online ISBN: 978-3-642-37996-3

  • eBook Packages: Computer ScienceComputer Science (R0)