面向导航终端的POI压缩与检索研究

Kang Jianchu, Liu Peng, Zhu Tong-yu
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引用次数: 1

摘要

基于Berkeley数据库,提出了一种面向块的压缩存储方法。该方法根据兴趣点(POI)的特征,对数据记录进行聚类、排序和分段,并基于压缩数据块存储这些记录。此外,本文还通过建立倒排索引实现了对POI记录的快速检索。实验结果表明,该方法可以解决在资源有限的嵌入式导航终端上压缩海量POI记录的问题,从而为用户提供快速检索。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Research on Navigation Terminal Oriented POI Compression and Retrieval
Based on Berkeley DB, this paper presents a block-oriented compression storage method. Following the characteristics of point of interest (POI), this method clusters, sorts and word-segments the data records, and stores these records based on compressed data block. In addition, this paper implements the fast retrieval of POI records by means of building inverted index. The experimental results demonstrated that the suggested method can solve the problem of how to compress massive POI records on an embedded navigation terminal with limited resources, so as to provide fast retrieval for the users.
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