Traditional cache replacement strategy lacks pertinence to the semantic cache, and it can not reuse the data in cache effectively, it affects the performance of the cache.
传统缓存替换策略对语义缓存替换缺乏针对性，不能有效重用缓存中的数据，影响缓存命中率。
参考来源 - 基于语义贡献值的XML查询缓存替换策略·2,447,543篇论文数据，部分数据来源于NoteExpress
通过对流媒体访问特性的分析，提出并实现了基于可变窗口的流媒体缓存替换算法CABVW。
Based on analyzing the characteristics of streaming media accessing, Caching Algorithm Based on Variable Window (CABVW) is presented in this paper.
在位置相关查询(LDQ)中由于用户的移动性和数据的位置相关性，给缓存替换策略带来了新的挑战。
Because of the user's mobility and the location dependency of data, new challenge has been brought to cache replacement strategy for location Dependent Query (LDQ).
通过实验对比，PLAC比其他位置相关缓存替换策略更为有效地提高了缓存命中率，缩短了查询平均响应时间。
The contrast experiments show that the PLAC increases cache hit rate and shortens query average response time more effectively than other location dependent cache replacement strategies.
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