An ontological approach to personalized medical knowledge recommendationGao, H., Chen, X. and Liu, K. (2012) An ontological approach to personalized medical knowledge recommendation. In: The 2nd International Conference on Logistics, Informatics and Service Science (LISS 2012), 2012, Beijing, China, pp. 247-255. (Gao Huiying, Chen Xiuxiu, Liu Kecheng. (2012). An ontological approach to personalized medical knowledge recommendation.The 2nd International Conference on Logistics, Informatics and Service Science (LISS 2012), Beijing, China, 2012, 7: 79-84. (Published)) Full text not archived in this repository. It is advisable to refer to the publisher's version if you intend to cite from this work. See Guidance on citing. Official URL: http://link.springer.com/chapter/10.1007/978-3-642... Abstract/SummaryKnowledge 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 paper 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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