An ontological approach to personalized medical knowledge recommendation

Huiying Gao; Xiuxiu Chen; Kecheng Liu

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

An ontological approach to personalized medical knowledge recommendation

Huiying Gao^*, Xiuxiu Chen, Kecheng Liu

^*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

1 Citation (Scopus)

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.

Original language	English
Title of host publication	LISS 2012 - Proceedings of 2nd International Conference on Logistics, Informatics and Service Science
Pages	783-789
Number of pages	7
DOIs	https://doi.org/10.1007/978-3-642-32054-5_110
Publication status	Published - 2013
Event	2nd International Conference on Logistics, Informatics and Service Science, LISS 2012 - Beijing, China Duration: 12 Jul 2012 → 15 Jul 2012

Publication series

Name	LISS 2012 - Proceedings of 2nd International Conference on Logistics, Informatics and Service Science

Conference

Conference	2nd International Conference on Logistics, Informatics and Service Science, LISS 2012
Country/Territory	China
City	Beijing
Period	12/07/12 → 15/07/12

Keywords

Case-based reasoning
Ontological modeling
Personalized knowledge recommendation
Semantic analysis
User profiling

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

Cite this

Gao, H., Chen, X., & Liu, K. (2013). An ontological approach to personalized medical knowledge recommendation. In LISS 2012 - Proceedings of 2nd International Conference on Logistics, Informatics and Service Science (pp. 783-789). (LISS 2012 - Proceedings of 2nd International Conference on Logistics, Informatics and Service Science). https://doi.org/10.1007/978-3-642-32054-5_110

@inproceedings{602fab4a1b6b43ce89164b29d270831c,

title = "An ontological approach to personalized medical knowledge recommendation",

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 = "Case-based reasoning, Ontological modeling, Personalized knowledge recommendation, Semantic analysis, User profiling",

author = "Huiying Gao and Xiuxiu Chen and Kecheng Liu",

year = "2013",

doi = "10.1007/978-3-642-32054-5_110",

language = "English",

isbn = "9783642320538",

series = "LISS 2012 - Proceedings of 2nd International Conference on Logistics, Informatics and Service Science",

pages = "783--789",

booktitle = "LISS 2012 - Proceedings of 2nd International Conference on Logistics, Informatics and Service Science",

note = "2nd International Conference on Logistics, Informatics and Service Science, LISS 2012 ; Conference date: 12-07-2012 Through 15-07-2012",

}

Gao, H, Chen, X & Liu, K 2013, An ontological approach to personalized medical knowledge recommendation. in LISS 2012 - Proceedings of 2nd International Conference on Logistics, Informatics and Service Science. LISS 2012 - Proceedings of 2nd International Conference on Logistics, Informatics and Service Science, pp. 783-789, 2nd International Conference on Logistics, Informatics and Service Science, LISS 2012, Beijing, China, 12/07/12. https://doi.org/10.1007/978-3-642-32054-5_110

An ontological approach to personalized medical knowledge recommendation. / Gao, Huiying; Chen, Xiuxiu; Liu, Kecheng.
LISS 2012 - Proceedings of 2nd International Conference on Logistics, Informatics and Service Science. 2013. p. 783-789 (LISS 2012 - Proceedings of 2nd International Conference on Logistics, Informatics and Service Science).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

TY - GEN

T1 - An ontological approach to personalized medical knowledge recommendation

AU - Gao, Huiying

AU - Chen, Xiuxiu

AU - Liu, Kecheng

PY - 2013

Y1 - 2013

N2 - 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.

AB - 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.

KW - Case-based reasoning

KW - Ontological modeling

KW - Personalized knowledge recommendation

KW - Semantic analysis

KW - User profiling

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U2 - 10.1007/978-3-642-32054-5_110

DO - 10.1007/978-3-642-32054-5_110

M3 - Conference contribution

AN - SCOPUS:84883104173

SN - 9783642320538

T3 - LISS 2012 - Proceedings of 2nd International Conference on Logistics, Informatics and Service Science

SP - 783

EP - 789

BT - LISS 2012 - Proceedings of 2nd International Conference on Logistics, Informatics and Service Science

T2 - 2nd International Conference on Logistics, Informatics and Service Science, LISS 2012

Y2 - 12 July 2012 through 15 July 2012

ER -

An ontological approach to personalized medical knowledge recommendation

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Keywords

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