摘要
针对当前资源描述框架(RDF)查询语言查询数据效率不高且不能查全的特点,通过研究关系数据库模式到RDF视图的映射关系,在基于本体的智能检索方法基础上引进分层思想,设计和实现一种单本体数据源环境下的RDF查询引擎,实现隐含语义的发现。实验表明该引擎能较好地实现高效率的语义查询,并具有更大的灵活性和可扩展性。
Currently the query efficiency of RDF semantic data and recition ratio is not high. By studying the map relation from RDB schema to RDF view, a RDF querying engine can be designed and implemented with the delamination idea for single data source based on the intelligently ontology query. Experimental result shows that the engine can be better implemented to semantic query with high efficiency and has better agility and expansibility.
出处
《计算机工程》
CAS
CSCD
北大核心
2008年第14期55-57,共3页
Computer Engineering
基金
国家部委预研基金资助项目
