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An Ontological Approach to Personalized Medical Knowledge Recommendation

In: Liss 2012

Author

Listed:
  • Huiying Gao

    (Beijing Institute of Technology)

  • Xiuxiu Chen

    (Beijing Institute of Technology)

  • Kecheng Liu

    (Beijing Institute of Technology
    University of Reading)

Abstract

Knowledge recommendation has become a promising method in supporting the clinicians’ decisions and improving the quality of medical services in the constantly changing clinical environment. However, current medical knowledge management systems cannot understand users’ requirements accurately and realize personalized recommendation. Therefore this chapter proposes an ontological approach based on semiotic principles to personalized medical knowledge recommendations. In particular, healthcare domain knowledge is conceptualized and an ontology-based user profile is built. Furthermore, the personalized recommendation mechanism is illustrated.

Suggested Citation

  • Huiying Gao & Xiuxiu Chen & Kecheng Liu, 2013. "An Ontological Approach to Personalized Medical Knowledge Recommendation," Springer Books, in: Zhenji Zhang & Runtong Zhang & Juliang Zhang (ed.), Liss 2012, edition 127, pages 783-789, Springer.
    • Handle: RePEc:spr:sprchp:978-3-642-32054-5_110
    DOI: 10.1007/978-3-642-32054-5_110
    as

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