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 |
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Pages (from-to) | 247-255 |
Number of pages | 9 |
Journal | Advances in Information Sciences and Service Sciences |
Volume | 4 |
Issue number | 23 |
DOIs | |
Publication status | Published - Dec 2012 |
Keywords
- Case-based reasoning
- Ontological modeling
- Organizational semiotics
- Personalized knowledge matching
- User profiling