An Ontological Approach to Personalized Medical Knowledge Recommendation

被引：1
|
作者：
Gao, Huiying [1 ]
Chen, Xiuxiu [1 ]
Liu, Kecheng [1 ]
机构：
[1] Beijing Inst Technol, Sch Management & Econ, Beijing 100081, Peoples R China
来源：
PROCEEDINGS OF 2ND CONFERENCE ON LOGISTICS, INFORMATICS AND SERVICE SCIENCE (LISS 2012), VOLS 1 AND 2 | 2013年
关键词：
Personalized knowledge recommendation; Ontological modeling; Semantic analysis; User profiling; Case-based reasoning;
D O I：
10.1007/978-3-642-32054-5_110
中图分类号：
T [工业技术];
学科分类号：
08 ;
摘要：
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.
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页数：7
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