摘要
互联网中,海量Web信息自由开放,真假有益危害信息混在一起,许多Web文本的内容不可信。如何正确判断Web文本内容的可信性,从而在海量的Web信息中选择有用可信的资源信息,是当前急需解决的问题。提出了一种基于信任模式验证的论述性Web文本可信性判定方法,首先定义论述性Web文本的信任模式并对信任模式进行形式化的描述,然后构建论述性Web文本阅读自动机,最后进行模型检测以判断论述性Web文本是否满足信任模式,并根据检测结果求解Web文本可信度。实验表明该方法具有良好的效果。
There are much open Web information,which are composed of true and false information and useful and harmful information,and much information are untrustworthy.Therefore,it is more and more important how to judge the text credibility to choose the trustworthy and useful information from much Web information.This article introduced a kind of judgment method of Web text content trust based on trust pattern verification.First,the author defined the trust pattern of Web text and described trust pattern by the formal method,then the author modeled Web text,and finally checked the Web text model to judge whether Web verification model satisfies the trust pattern,and designed the algorithm of calculating Web text trustworthy degree according to the result of model checking.Experiment proves this method is effective.
出处
《计算机科学》
CSCD
北大核心
2011年第1期177-180,206,共5页
Computer Science
基金
863项目(2007AA01Z425
2009AA012201)
973计划课题(2007CB316502)
国家自然基金项目(90718015)
NSFC-微软亚洲研究院联合项目(60970155)
教育部博士点基金项目(20090072110035)
上海市优秀学科带头人计划项目(10XD1404400)
高效能服务器和存储技术国家重点实验室开放基金项目(2009HSSA06)资助