A spatial text query scheme based on semantic-aware

Hongbo Li, Hong Zhu, Zongmin Cui
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引用次数: 1

Abstract

In some application scenarios, the strategy based on text similarity cannot accurately find the spatial text data that users need. Therefore, we propose a spatial text query scheme based on semantic-aware. We name this scheme as SSA. We study spatial text queries based on semantic-aware. We improve LDA algorithm to filter out some worthless candidate data. The experimental results show that our scheme has good basic attributes and query accuracy.
一种基于语义感知的空间文本查询方案
在某些应用场景中,基于文本相似度的策略不能准确地找到用户需要的空间文本数据。为此,我们提出了一种基于语义感知的空间文本查询方案。我们将此方案命名为SSA。我们研究了基于语义感知的空间文本查询。我们改进了LDA算法,过滤掉一些无用的候选数据。实验结果表明,该方案具有良好的基本属性和查询精度。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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