中文摘要：

为了提高教育多媒体数据库的访问能力和信息检索能力,需要进行数据的分类高效存储技术设计,提出一种语义指向性C均值数据聚类的海量教育多媒体数据分类高效存储技术。首先进行教育媒体数据库的数据存储结构分析,计算数据存储的聚类中心和属性类别集分类控制阈值;然后采用语义指向性特征提取方法作为数据存储的信息素导引,对提取的语义指向性特征通过C均值聚类进行优化分类存储;最后进行仿真实验分析。结果表明,采用该方法进行海量教育多媒体数据的分类存储,能提高数据库的吞吐量,数据检索的召回率等指标。

英文摘要：

In order to improve the addressing and information retrieval abilities of education multimedia database, it is necessary to develop the efficient data classification storage technology. An education multimedia mass data classification storage technology of the semantic directivity mean value C data clustering is proposed. The data storage structure of the educational me- dia database is analyzed. The cluster center of data storage and classification control threshold of attributes category set are calcu- lated. The semantic directivity feature extraction method is adopted as the pheromone guidance of the data storage to conduct op- timization classification storage of the extracted semantic directivity characteristics in combination with mean value C clustering. The simulation analysis results show that the method for the classification storage of education multimedia mass data can improve the throughput of the database, and the recall rate of data retrieval.