计算机科学 ›› 2010, Vol. 37 ›› Issue (3): 178-181.
• 软件工程与数据库技术 • 上一篇 下一篇
张建英，孙永洁，王秀坤
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ZHANG Jian-ying,SUN Yong-jie,WANG Xiu-kun
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摘要： 关系数据库可以看作是元组以及外键关系构成的有向图。为便于数据复制以及共享，在进行数据抽取时，往往既要使语义上相关的数据一起抽取，又要使得抽取的数据尽量逻辑上独立。将多根树作为语义上相关、逻辑独立的数据集，给出了关系数据抽取方法并进行了实现。在Oracle中，使用TPC-C数据库结构对该方法进行了测试与分析，从而验证了算法的有效性和通用性。
关键词: 多根树，语义相关，数据抽取
Abstract: A relational database can be viewed as a directed graph constructed by tuples and foreign key references. To facilitate data replication and sharing,semanticrclativity and logically independence should be satisfied when relational data is extracted. Multi-tree structures are employed as clusters of such data extracted from a relational database in this paper. Then the corresponding data extraction approach was proposed and implemented. We evaluated the extraction algorithm on a TPC-C database in Oracle, demonstrating the effectiveness and generalization of the approach.
Key words: Multi tree, Semantic-related, Data extraction
张建英，孙永洁，王秀坤. 基于语义的通用数据抽取方法[J]. 计算机科学, 2010, 37(3): 178-181. https://doi.org/
ZHANG Jian-ying,SUN Yong-jie,WANG Xiu-kun. Generic&Semantic-based Data Extraction Approach[J]. Computer Science, 2010, 37(3): 178-181. https://doi.org/
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