嵌入图数据库的检索算法研究

Research on retrieval algorithm with embedded graph databases

为实现大规模数据下关系数据库的信息检索,在现有关系数据库对象级别建模思想的基础上,提出了基于对象实体完整性的建模方法。利用嵌入图数据库的方式,实现了关系数据库对象级别信息检索算法。通过将图数据库与关系数据库相结合,为解决检索大规模数据时带来的内存溢出问题提供了思路。设计了原型系统,并通过实验验证了该算法的有效性和可行性。

To implement information retrieval over relational databases on large-scale data, a modeling method based on the integrity of object entities is proposed based on current thinking of object level modeling over relational databases. Through embedded graph database, the algorithm of object-level information retrieval over relational databases is implemented. Combined with graph databases and relational databases, this algorithm brings a solution of memory overflow problems when searching under the conditions of large-scale data. Prototype system is designed, and effectiveness and feasibility are verified by the experiment.