摘要
针对异质、异构数据库的语义集成中,对海量元组进行语义查询时因效率问题而无法使用丰富的语义表达能力的问题,提出一种兼顾速度和语义表达能力的算法,将语义查询和本体都进行图形化表示,并实现子图的语义匹配,将匹配的结果转化成数据库查询语句。与将语义查询直接重写为SQL的算法相比,该算法能支持更丰富的语义。
To solve weak semantics problem of integrating heterogeneous databases by semantic technology, which is caused by the scale of records, an algorithm is proposed. It gives consideration to efficiency and reasoning ability. Ontology and queries are expressed as graphics. Sub-graph is matched with semantics. The result is translated into database query language. This algorithm supports more rich semantics than the algorithm that rewrites semantic query into SQL does.
出处
《计算机工程》
CAS
CSCD
北大核心
2010年第11期52-54,共3页
Computer Engineering
基金
国家"973"计划基金资助项目(2007CB310801)
武汉市科技局科技攻关计划基金资助项目(200810321167)
关键词
数据库
语义
合取查询
database
semantic
conjunctive query
