关键词: 概率理论, 实体匹配, 数据对比, 复合指标, 增量更新

Abstract: A generalized matching method for entity matching, vector data contrast method based on probabilistic theory and compound criteria, was proposed. The method extended from traditional single criteria to compound criteria, and the attributes information, spatial information and graphical information of vector data were considered. In addition, it attempted to resolve one-many and many-many matching relationships. The experimental results indicate that this method has good precision and recall, and contrastive results are available for the incremental analysis of geographic datasets.

Key words: probabilistic theory, entity matching, data contrasting, compound criteria, incremental updating