知识发现就是从大量的数据中抽取以前未知并具有潜在可用的模式，数据挖掘则是组成知识发现过程的重要环节。
Knowledge discovery is to abstract the previously unknown and potentially useful models from a large amount of data, and data mining is an important component in the procedure of knowledge discovery.
数据挖掘是近年来企业用以分析大型数据集的核心技术，是知识发现过程中的关键步骤，是数据库技术的进一步扩展。
Data Mining is recently core technologies for an enterprise to analyze large data-sets, and it is a key step in knowledge discovery process and a database technical further expanding.
针对知识发现在实际应用中的问题，提出了一种以领域知识为中心的知识发现过程模型，并将其形式化，描述了其动态语义。
Considering the problems in actual application, this paper proposed a kind of domain knowledge centered know-ledge discovery process model, then formalized it and described its dynamic semantics.
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