An Ontological Approach to Personalized Medical Knowledge Recommendation

Huiying Gao (), Xiuxiu Chen () and Kecheng Liu ()
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Huiying Gao: Beijing Institute of Technology
Xiuxiu Chen: Beijing Institute of Technology
Kecheng Liu: Beijing Institute of Technology

A chapter in LISS 2012, 2013, pp 783-789 from Springer

Abstract: 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.

Keywords: Personalized knowledge recommendation; Ontological modeling; Semantic analysis; User profiling; Case-based reasoning (search for similar items in EconPapers)
Date: 2013
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Persistent link: https://EconPapers.repec.org/RePEc:spr:sprchp:978-3-642-32054-5_110

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DOI: 10.1007/978-3-642-32054-5_110

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