基于概念格的本体医疗资源语义推荐方法  

Semantic Recommendation Method of Ontology Based on Concept Lattice

作　　者：刘玉文[1,2] 王凯[1] 徐济成[3] 

机构地区：[1]蚌埠医学院卫生管理系,安徽蚌埠233030 [2]中国科学技术大学计算机科学与技术学院,安徽合肥230027 [3]安徽农业大学信息与计算机学院,安徽合肥230027

出　　处：《湖州师范学院学报》2017年第2期47-56,共10页Journal of Huzhou University

基　　金：安徽省高校自然科学一般项目(KJ2015B023by);蚌埠医学院自然科学重点项目(Byky1411ZD)

摘　　要：围绕本体概念相似度计算的局限性展开研究,将用户及医疗资源融入本体构建模型,利用概念格的层次分类模型,通过筛选用户偏好,分别构建用户本体与医疗资源本体,改进相似度匹配算法获取用户的个性需求,得到具有较高推荐精度的用户模型.实验结果表明,该模型能有效降低用户选择医疗资源的困难度,提高需求满意度和推荐质量.Through the screening of user preferences, this paper focuses on the limitations of the study. Hierarchical classification model based on concept lattice were constructed, based on which users and medical resources into the construction of ontology model for similarity matching were improved to obtain the user＇s individual needs and high accuracy of recommendation. The experimental results show that the proposed model can effectively reduce the difficulty of selecting medical resources and improve the satisfaction and quality of recommendation.

关 键 词：本体 概念格 个性推荐 语义建模 相似匹配 

分 类 号：TP391[自动化与计算机技术—计算机应用技术]