计算机应用与软件2012，Vol.29Issue(2)：54-56,3.
一种基于本体的文本主题提取方法研究
AN ONTOLOGY-BASED TEXT TOPIC EXTRACTION METHOD RESEARCH
摘要
Abstract
After thorough exploration with present text topic extraction technology and methods, the paper proposes an approach to apply ontology technology to text topic extraction. The approach counts on ontology technology to utilize semantic vectors to represent text sentences. Then it carries out semantic similarity calculation and semantic clustering. Finally it extracts representative sentences from every class to generate text topics. Experimental results show that the approach is feasible in text topic extraction.关键词
文本主题/自动文摘/本体/文本聚类/语义向量Key words
Text topic/Automatic text summarization/Ontology/Text clustering/Semantic vector分类
信息技术与安全科学引用本文复制引用
高玮军,马栋林,张其文..一种基于本体的文本主题提取方法研究[J].计算机应用与软件,2012,29(2):54-56,3.基金项目
国家自然科学基金项目(61064011). （61064011）
