An Ontological Approach to Personalized Medical Knowledge Recommendation
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.
KeywordsPersonalized 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.
- 5.Nazmona MA, Liu KC (2009) Understanding organizational morphology for knowledge management. In: 2009 second intelligent symposium on knowledge acquisition and modeling, Wuhan, China, pp 194–198Google Scholar
- 7.Gao HY, Gan RC (2006) Intelligent clustering based content classification. Tsinghua Univ (Sci & Tech) 46:1041–1045Google Scholar