支持语义查询的扩展关系型数据库设计及应用  

Design and Application of Extended Relational Databases to Support Semantic Queries

作　　者：梁晔[1] 刘宏哲[1] 

机构地区：[1]北京联合大学信息技术研究所,北京100101

出　　处：《北京联合大学学报》2007年第4期15-19,共5页Journal of Beijing Union University

基　　金：北京市教育委员会科技发展计划面上项目(km200611417001)

摘　　要：传统的数据库非常适合于存储和处理大量的数据,但其检索是基于关键字的。本体的检索是基于知识的,但当实际的应用中存在大量的实例信息时,推理机都不能够得到特别满意的性能结果。吸取两者的优点,提出扩展关系型数据库检索模型,将其应用于数字博物馆的检索系统中,并对此方法检索的查全率和检索效率进行了分析。Traditional relational databases are well suited to handling large volumes of data. But the retrieval of databases is based on key words. Ontology retrieval is based on knowledge. Unfortunately, existing reasoning tools fail when they are presented with the large volumes of instance level data, which is common in realistic applications. The retrieval model of extended relational databases is proposed based on the combination of the advantages of both relational databases and ontology. In addition, the recall and retrieval efficiency of its application in digital museums are analyzed.

关 键 词：数字博物馆 本体 语义查询 关系型数据库 

分 类 号：TP311.132.3[自动化与计算机技术—计算机软件与理论]