QKB：质量知识库

“Quality Knowledge Base”常被缩写为QKB，这种简写方式便于快速记录与日常使用，在商业及产品相关领域尤为常见。其对应的中文含义为“质量知识库”，通常用于指代存储和管理产品质量标准、流程经验等关键信息的结构化数据库，有助于企业提升运营效率与知识共享水平。

Structuring good quality of knowledge base is one of the keys to success of knowledge management.
构建高质量的知识库是知识管理成功的关键之一。
The model automatically checks and merges the newly discovered patterns of KDD process with the original knowledge base, thus improves the quality of the knowledge base.
其特点是利用KDD过程发现的知识与知识库中的原有知识进行自动的知识检测与融合，从而完善知识库；
This not only improved the scope and quality of semantic web knowledge base, but also is more conducive to promoting the development of semantic web applications.
不但提高了语义Web知识库的规模和质量，更有利于促进语义Web应用的发展。
Because that the semantic knowledge acquisition bottleneck factor, the quality of word sense disambiguation knowledge base and the fit and unfit quality problem to word sense disambiguation model, the disambiguation accuracy has not been ideal too at this present stage.
现阶段词义消歧技术，因为词义知识获取中的瓶颈因素、词义消歧知识库的质量及词义消歧模型的优劣问题，消歧正确率一直不太理想。
The performance of an ES mainly depends on the quality and quantity of knowledge in knowledge base.
一个专家系统的优劣在很大程度上取决于知识库中知识的质量和数量。

本站英语缩略词为个人收集整理，可供非商业用途的复制、使用及分享，但严禁任何形式的采集或批量盗用

若QKB词条信息存在错误、不当之处或涉及侵权，请及时联系我们处理：675289112@qq.com。