关键词: 标签，语义关联，时态，统计主题模型

Abstract: Tag is a kind of description of Web resources generated by users,and it represents the semantics of resources and interests of users. Because the Web resources are dynamic, tags show some temporal features. However,few researches arc concentrated on temporal features of tags. I}he temporal features represented by tags dataset were analyzed in this paper,and the semantic relations between tags based temporal features were discussed. The principle of time segmentation for discovering temporal features was proposed, and the effect of tags temporal on topics was analyzed by statistical topic model. I}he discovered temporal features were used in tags predication. The experiments based on different datasets shows that applying tags temporal feature to tags predication can improve the predication performance.

Key words: Fags, Semantic relation, Temporal, Statistical topic model