Abstract:

［Purpose/Significance］Correlation of medical information resources of different systems and different types, and discovering new medical information and knowledge could provide information services of clinical decision making and scientific research to clinicians. ［Design/Methodology］Problems of medical information resource discovery services were explored. Taking the information needs of clinicians and the characteristics of medical information resources into consideration, a system model of multisource medical information resource discovery service was developed based on the semantic association, which included resource layer, resource integration layer, resource service layer, and medical semantic and knowledge database. The key technologies were also studied and designed comprehensively including Chinese medical semantic mapping, semantic storage structure, semantic acquisition, and resource discovery according to semantic association. Finally, examples were analyzed from the perspective of semantic interpretation space and knowledge association. Findings/Conclusion］The medical information resource discovery service system model could realize association discovery at the semantic level. ［Originality/Value］The introduction of medical semantics into medical information resource service system could provide a reference for the deep mining and wide application in population and health information platform.

Key words: Medical semantic, Multisource medical information, Information resource discovery system, Semantic relation；Semantic interpretation space