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Intelligent Data analysis and its Applications, Volume II pp 87–94Cite as

Knowledge Integration for Diabetes Drugs Ontology

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Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 298))

Abstract

The rising and developing of information technologies has made information overflow. Even in the same topics, a lot of different aspects of knowledge were setup. So, the knowledge integration is one of the important research topics. In this paper, the diabetes drug prescriptionsare usedas examples to do the knowledge integration which according to American Diabetes Association (ADA), American Journal of Clinical Endocrinology Society (AACE), the Republic of China Diabetes Association and the British National Health Service Bureau (NHS). The system will integrate the four medication diabetes associations to establish knowledge ontologies. The system includes three parts. First, the ontologies pre-processing will calculate the similarity between the ontologies and then find out the correlation between ontologies, Next, the system transfers the ontologies format into Joseki, and finally the user through a graphical user interface to obtain information.

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Author information

Authors and Affiliations

  1. Department of Information Management, Chaoyang University of Technology, 168, Jifeng E. Rd., Wufeng District, Taichung City, 41349, Taiwan ROC

    Rung-Ching Chen, Yu-Wen Lo, Bo-Ying Liao & Cho-Tscan Bau

Authors
  1. Rung-Ching Chen
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  2. Yu-Wen Lo
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  3. Bo-Ying Liao
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  4. Cho-Tscan Bau
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Corresponding author

Correspondence to Rung-Ching Chen .

Editor information

Editors and Affiliations

  1. University of Applied Sciences, Kaohsiung, Taiwan

    Jeng-Shyang Pan

  2. Department of Computer Science Faculty of Elec. Eng. & Comp. Sci., VSB-Technical University of Ostrava, Ostrava, Czech Republic

    Vaclav Snasel

  3. Departamento de Informáca y Automática Facultad de Biología, University of Salamanca, Salamanca, Spain

    Emilio S. Corchado

  4. Scientific Network for Innovation and Research Excellence, Machine Intelligence Research Labs (MIR Labs), Auburn, Washington, USA

    Ajith Abraham

  5. Department of Information Management, National University of Kaohsiung, Kaohsiung, Taiwan

    Shyue-Liang Wang

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© 2014 Springer International Publishing Switzerland

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Cite this paper

Chen, RC., Lo, YW., Liao, BY., Bau, CT. (2014). Knowledge Integration for Diabetes Drugs Ontology. In: Pan, JS., Snasel, V., Corchado, E., Abraham, A., Wang, SL. (eds) Intelligent Data analysis and its Applications, Volume II. Advances in Intelligent Systems and Computing, vol 298. Springer, Cham. https://doi.org/10.1007/978-3-319-07773-4_9

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  • DOI: https://doi.org/10.1007/978-3-319-07773-4_9

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-07772-7

  • Online ISBN: 978-3-319-07773-4

  • eBook Packages: EngineeringEngineering (R0)

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