An ontological approach to personalized medical knowledge matching

Huiying Gao*, Xiuxiu Chen, Kecheng Liu

*Corresponding author for this work

    Research output: Contribution to journalArticlepeer-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 languageEnglish
    Pages (from-to)247-255
    Number of pages9
    JournalAdvances in Information Sciences and Service Sciences
    Volume4
    Issue number23
    DOIs
    Publication statusPublished - Dec 2012

    Keywords

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

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