TY - JOUR
T1 - An ontological approach to personalized medical knowledge matching
AU - Gao, Huiying
AU - Chen, Xiuxiu
AU - Liu, Kecheng
PY - 2012/12
Y1 - 2012/12
N2 - 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.
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
UR - http://www.scopus.com/inward/record.url?scp=84872094821&partnerID=8YFLogxK
U2 - 10.4156/AISS.vol4.issue23.31
DO - 10.4156/AISS.vol4.issue23.31
M3 - Article
AN - SCOPUS:84872094821
SN - 1976-3700
VL - 4
SP - 247
EP - 255
JO - Advances in Information Sciences and Service Sciences
JF - Advances in Information Sciences and Service Sciences
IS - 23
ER -