The knowledge-based CAD system has a huge demand for computing power and, as the database grows, it will get slower and less efficient.
以信息积累（认知性）为基础的CAD技术对计算机资源的需求与之俱增，并且随着数据库的扩大，诊断速度和效率也将随之下降。
Based on the work stated above, a prototype system that can utilize multi-extending concept lattice classification knowledge discovery in database is implemented.
在上述研究工作的基础上，实现了基于多扩展概念格的分类知识发现原型系统。
This work investigates strategies for building an Expert Database System (EDS) based on RDBMS, assert that a RDBMS can perform knowledge-based reasoning in addition to its other tasks.
介绍了用RDBMS建立大型知识库系统（EDS）的一种策略，通过研究实践，确信RDBMS除了它已具有的数据库管理功能外，经过改进，它可以实现对知识的推理功能。
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