1) Mining semantic relationships
语义关系挖掘
2) semantic mining
语义挖掘
1.
The application of semantic mining for intelligent acquisition,analysis and processing of unstructured data and information can help the enterprise establish the economical and effective competitive intelligence flow quickly.
语义挖掘是一种从非结构化数据中准确地提取有用信息和知识的新兴数据挖掘技术。
2.
By researching the doubleaction dependent relation of implication theme and observation input,this model is extended to two layer random field model,which conducts the semantic mining to news video.
通过研究隐含主题与观测输入之间的双向依存关系,将其扩展为双层随机场模型,从而对新闻视频进行语义挖掘。
3) relationship mining
关系挖掘
1.
Finally,this paper successfully solves a new kind of relationship mining problem by using the algorithm.
通过推广传统最大流算法,给出了粗糙网络中的类最大流算法,并将其应用于新的一类关系挖掘问题中。
5) Semantic content mining
语义内容挖掘
6) Semantic Data Mining
语义数据挖掘
1.
Research on Semantic Data Mining Technique of Chinese Information;
中文信息的语义数据挖掘技术研究
补充资料：经济关系(见生产关系)
经济关系(见生产关系)
economical relation
1 ingji gU口nxj经济关系(eeonomieal relation)系。见生产关
说明：补充资料仅用于学习参考，请勿用于其它任何用途。
参考词条