An ontological approach to personalized medical knowledge matching

Huiying Gao; Xiuxiu Chen; Kecheng Liu

doi:10.4156/AISS.vol4.issue23.31

An ontological approach to personalized medical knowledge matching

Huiying Gao^*
, Xiuxiu Chen
, Kecheng Liu

^*Corresponding author for this work

Beijing Institute of Technology
University of Reading

Research output: Contribution to journal › Article › peer-review

Abstract

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.

Original language	English
Pages (from-to)	247-255
Number of pages	9
Journal	Advances in Information Sciences and Service Sciences
Volume	4
Issue number	23
DOIs	https://doi.org/10.4156/AISS.vol4.issue23.31
Publication status	Published - Dec 2012

Keywords

Case-based reasoning
Ontological modeling
Organizational semiotics
Personalized knowledge matching
User profiling

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abstract = "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.",

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AB - 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.

KW - Case-based reasoning

KW - Ontological modeling

KW - Organizational semiotics

KW - Personalized knowledge matching

KW - User profiling

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DO - 10.4156/AISS.vol4.issue23.31

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ER -

An ontological approach to personalized medical knowledge matching

Abstract

Keywords

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