基于数据挖掘的Web文本语义分析与标注研究

Semantic Analysis and Annotation of Web Text Based on Data Mining

在领域本体已知和文本语义标注主要步骤的基础上,本文用数据挖掘技术实现文本语义信息的获取,提出了文本语义分析与标注的基本思想和处理流程,深入探讨了用聚类分析完成实例分析与标注过程,用关联挖掘和分类方法完成实例间关系的分析与标注过程。

Based on the known domain ontology and the main semantic annotation steps of text, this paper realizes the acquisition of semantic information from Web text using data mining technology, proposes the basic idea and processing flow of semantic analysis and annotation of text, probes deeply into the analysis and annotation of the instances using cluster analysis, and fulfills the analysis and annotation of the relationships among instances using association mining and classification method.