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OODB中用于语义查询处理的知识挖掘

MINING KNOWLEDGE IN OODB FOR SEMANTIC QUERY PROCESSING
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摘要 针对面向对象数据库在处理查询方面速度慢、系统开销大的问题,提出一种在大型面向对象数据库中挖掘先前无知、潜在有用的知识的方法,所挖掘到的知识运用到语义查询处理上,使查询处理更加快捷.知识挖掘方法由三个阶段组成:识别、提取和表达. In the light of the problem that the speed is slow and the cost is large on query processing in object - oriented database, the paper proposes a method to mine previously unknown and potentially useful knowledge in large object -oriented database. The mined knowledge can be used in semantic query processing and speck it up. The method of mining knowledge consists of three phases: identifying, extracting, and proposing.
作者 王晓升 韩君
出处 《哈尔滨师范大学自然科学学报》 CAS 2008年第4期62-65,共4页 Natural Science Journal of Harbin Normal University
关键词 知识挖掘 查询处理 面向对象数据库(OODB) 虚拟层 Knowledge mining Query processing Object - oriented database (OODB) Virtual hierarchy
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参考文献5

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