LISS 2012 pp 783-789 | Cite as

An Ontological Approach to Personalized Medical Knowledge Recommendation

  • Huiying Gao
  • Xiuxiu Chen
  • Kecheng Liu
Conference paper


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.


Personalized knowledge recommendation Ontological modeling Semantic analysis User profiling Case-based reasoning 



The research was partially supported by the National Natural Science Foundation of China under Grant 71102111 and Beijing Institute of Technology under Grant 3210012211218.


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Copyright information

© Springer-Verlag Berlin Heidelberg 2013

Authors and Affiliations

  1. 1.School of Management and EconomicsBeijing Institute of TechnologyBeijingPeople’s Republic of China
  2. 2.Informatics Research CentreUniversity of ReadingReadingUK

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