数据起源在网络信息可信度评价中的应用.doc

数据起源在网络信息可信度评价中的应用 摘要 网络中着大量不实的消息给用户带来与不影响，用户网络信息的程序偏低。于提高用户、一步网络信息的都有着重要的意义信息的传播过程可信评价有大的于网络信息程的一个重要是信息过程信息不对称在网络信息，对于信息来源信息过程经历的与变化太多的了解此同时，较于其它信息传播信息广泛而不确定性，传播过程又相应的审查机制因而，选择对来源的网络信息的信任。研究即是将信息的来源其传播等相关引入到网络信息信度评价中，为用户信息的来去脉为其提供一个理解易接受的信评价的依据。分析总结了信息可信度的现状是主应信度一种是分析中可信进行分析与方法起源研究的就是数据Origin）及随后所有的处理步骤。最初被应用在数据库数据中，发展到工作流Web等更开放的环境中，阶段主要集中在web开放环境下已经成的模型等对放环境下的结构化无结构的的等进行研究。及外Olaf Hartig等为代表的学者已将应用 本文根据现有的信息信度的评价标准，信息的传播，总结出网络信息传播可信评价包括来源结点的权威性信息的性与一致性；的信息传播过程，建模建立的网络信息传播过程的起源模型时，起源模型，环境下起源信息的管理，包括信息的收集与存储起源信息的与查询以及信息的校验，与存储的起源信息，网络信息信评价的，基于从而为提供信息可信度评价依据网络新闻构建网络新闻传播的场景，传播的模型，给出的起源表示方法化展示在信息可信度评价中 关键词：网络信息；可信度评价；数据起源；PROV模型； ABSTRACT Network is filled with large numbers of false news and information, huge losses and adverse impacts have been brought to users. Thus, users are not that willing to believe the information coming from the network. To improve the users’ using experience, providing them an accessible way to evaluate the credibility of the information will be helpful. The source of the network information may sometimes indicates the credibility of the information. Users are not that willing to believe the information coming from the network since they don’t know how the information spread on the internet. They don’t know who has post the information, and who has changed the information. Thinking that anyone can post anything on the internet, they are intended to doubt about the truth of the information. Since credibility is a subjective feeling, there isn’t a general quantitative criteria to evaluate it. At the present stage, there are two ways commonly used. One is by using the survey among the users, letting them to rank the credibility, collecting the data and giving the result to the other users as a reference. The other is by analyzing the link structure in the web pages, using some algorithm like PageRank to rank the pages, and the scores are provided to the users as some indirect references to evaluate the information in the pages. Thinking that t