【摘要】 目前文本信息提取与检索无法适应复杂环境、受用户权限限制以及面临存储器容量大的问题。为此,通过对各种文档文本信息的特征分析,建立基于并行的深度文本信息分析系统。基于XML细粒度表达的不同类型文档提取文本信息,采用基于多核的并行技术根据关键词检索分析提取的文本信息,最后输出信息分析结果。实验结果表明,该系统能够细粒度地深入分析不同类型文本信息,在检索词数量较多时,可以快速提取完整信息。更多还原

【Abstract】 At present,text information extraction and retrieval cannot adapt to the complex environment,limited by user rights and facing the problem of large storage capacity. Based on the feature analysis of all kinds of document text information,a parallel depth text information analysis system is established. Text information is extracted from different types of documents based on fine-grained expression of XML,and the text information extracted by keyword retrieval is retrieved by parallel technology based on multi-core. Finally,the result of information analysis is outputted. The experimental results show that the system can analyze the different types of text information in fine granularity and extract the complete information quickly when the number of keywords is large.更多还原