面向物联网的语义空间资源索引构建及其查询优化算法

发布时间：2018-07-07 10:38

本文选题：物联网 + 语义分类树　；参考：《系统工程与电子技术》2014年01期

【摘要】：面对物联网中的海量空间资源,在空间资源索引的构建中引入语义分类的方法,使得传统的IR树具备语义特征,支持用户对资源的语义查询,并提出一种top-k语义查询优化算法,通过对实际数据的使用和实验分析,得出索引结构的有效性和查询结果的正确性,从索引构建时间、查询时间和查询准确率3个指标来评估算法的性能,实验结果表明,算法支持语义空间资源索引构建,并且查询性能好,准确率高。
[Abstract]:In the face of the massive spatial resources in the Internet of things, the semantic classification method is introduced into the construction of spatial resource index, which makes the traditional IR tree have semantic features, supports users' semantic query to resources, and proposes a top-k semantic query optimization algorithm. The validity of the index structure and the correctness of the query results are obtained through the use of the actual data and the experimental analysis. The performance of the algorithm is evaluated from the index construction time, the query time and the query accuracy. The experimental results show that, The algorithm supports the construction of semantic resource index, and the query performance is good and the accuracy is high.
【作者单位】：国防科学技术大学信息系统工程重点实验室;
【基金】：国家高技术研究发展计划(863计划)(2011AA010106)资助课题
【分类号】：TP391.3;TP391.45;TN929.5

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