Research on Ontology-based Text Classifier

摘要：

Ontology has become a key technology for semanticsdriven modeling since it can provide a shared understanding of a domain of interest, especially for the ever-increasing need for knowledge organization and management. In this paper, we propose an experiment for text classification, which is applicable across different domains, and can overcome the limitations of traditional text classification methods and realize a prototype system to automatically classify texts. The results of experiment prove that this method is applicable across different domains and it produces better performance.

关键词： text classifier bayesian classifier ontology concept similarity calculation

作者: Zhanlin Yu Ye Zhang

作者单位: School of Business Bohai University Jinzhou, China

会议类型: 国际会议

会议名称: 2010 4th International Conference on Intelligent Information Techonlogy Application(第四届智能信息技术应用国际学术研讨会 IITA 2010)

会议地点: 秦皇岛

会议语种:英文

页码: 274-277

在线出版日期: 2010-11-05（万方平台首次上网日期，不代表论文的发表时间）