Accessibility navigation

An ontological approach to personalized medical knowledge matching

Gao, H., Chen, X. and Liu, K. (2012) An ontological approach to personalized medical knowledge matching. In: 2nd International Conference on Logistics, Informatics and Service Science, 2012, Beijing, China, pp. 247-255. (Gao Huiying, Chen Xiuxiu, Liu Kecheng. (2012). An ontological approach to personalized medical knowledge matching. Advances in Information Sciences and Service Sciences, 4(23): 247-255. (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.


Knowledge management 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 matching. Therefore this paper proposes an ontological approach based on semiotic principles to personalized medical knowledge matching. In particular, healthcare domain knowledge is conceptualized and an ontology-based user profile is built. Furthmore, the personalized matching mechanism and algorithm are illustrated.

Item Type:Conference or Workshop Item (Paper)
Divisions:Henley Business School > Business Informatics, Systems and Accounting
ID Code:37488
Uncontrolled Keywords:Ontological Modeling, Case-based Reasoning, Personalized Knowledge Matching, Organizational Semiotics, User Profiling

University Staff: Request a correction | Centaur Editors: Update this record

Page navigation