基于本体的文档自动分类系统的研究

Study of Ontology-based Document Classification System

讨论了基于本体的文档自动分类系统的意义,给出了系统的框架。利用现有的文档自动分类技术,结合领域本体的分类词汇为文档建立索引。研究人工分类、机器学习分类的结合方法,提出基于“分类-使用-调整”逐步求精的分类方法。结合企业知识管理需求,开发了原型系统,进行了初步验证。

The importance of ontology-based document classification system is ana lyzed first, and then the framework of the system is proposed. Using the existin g document classification technology, the index of the documents is founded comb ined with the glossaries of the domain ontology. Studying the combination of man ual and machine learning classification, an classification approach for improving the precision based on “classification-use-adjustment is proposed ”. The prototyp e of the knowledge management tools has been developed and applied in enterprise s.