基于主题图的在线健康信息标签语义挖掘研究

情报科学

基于主题图的在线健康信息标签语义挖掘研究

华中师范大学信息管理学院

Research on Semantic Mining of Health Information Tag Based on Topic Map

School of Information Management, Central China Normal University

摘要/Abstract

摘要：

【目的/意义】在线健康信息的有效组织对提升全民身体素质具有重要的社会价值。【方法/过程】在分析健康信息主题、关联关系和资源标引的基础上，构建基于主题图的在线健康信息标签语义挖掘模型，从而建设了健康信息标签主题图并实现其可视化。【结果/结论】基于主题图的在线健康信息标签语义挖掘模型能够准确的发现在线健康信息与信息标签间的深层关系，可以更好地揭示在线健康信息标签的语义关系，为用户提供信息的可视化浏览和导航功能提升健康信息的组织效果，帮助用户健康信息获取。

关键词:

健康信息, 标签, 主题图, Ontopia

Abstract:

[Purpose/significance] The effective organization of online health information is of great social value in improving the physical fitness of the whole people.[Method/process]Based on the analysis of health information topic, association relationship and resource indexing, an online health information tag semantic mining model based on the topic graph was constructed, and the health information tag topic graph was visualized.[Result/conclusion]Based on topic maps of online health information label semantic mining model can accurately find the deep relationship between online health information and label, can better reveal the semantic relationships of online health information tags to provide users with information visualization browsing and navigation to promote health information organization effect, help users to health information.

Key words:

, Health information, Label, Topic map, Ontopia

占泚熊回香蒋武轩李琰.

基于主题图的在线健康信息标签语义挖掘研究 [J]. 情报科学.

ZHAN Ci , XIONG Hui-xiang, JIANG Wu-xuan, LI Yan.

Research on Semantic Mining of Health Information Tag Based on Topic Map [J]. Information Science.