面向不确定数据的关键词检索方法优化分析

Analysis of Optimization of Keyword Retrieval Methods for Uncertain Data

阐述现有面向不确定数据的关键词检索方法,包括基于概率模型的方法、基于模糊理论的方法、基于不确定性推理的方法。提出引入模糊匹配技术、语义技术、机器学习算法等优化措施。

This paper describes existing keyword retrieval methods for uncertain data,including methods based on probability models,methods based on fuzzy theory,and methods based on uncertainty reasoning.It proposes the introduction of optimization measures such as fuzzy matching technology,semantic technology,and machine learning algorithms.