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Information analysis technology for Universal Communication

机译:通用信息分析技术

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The Internet functions as a social infrastructure and stores a huge amount of information. People use the Internet whenever they need information. The primary role of the Internet is changing from that of digital content sharing to that of knowledge sharing. NICT Knowledge Clustered Group is researching and developing information analysis technology for “Universal Communication”. In order to realize universal communications, we have to overcome several barriers. Information analysis is an essential technology to overcome a barrier of “Information Quality”. The overabundance that makes it difficult to extract the most useful information from the Internet is called the information explosion. The amount of consumer generating media (CGM) is increasing particularly rapidly, but the content may be neither valuable nor trusted. Ordinary web search engines cannot evaluate the content. However, if we can evaluate the credibility of information, credible digital content will be as easily accessed knowledge is on the Internet. We believe that information analysis technology to find higher quality information on Web content enables us to overcome a barrier of “Information Quality”.Research project of NICT Knowledge Clustered Group focuses on analysis of information credibility criteria and development of a knowledge cluster system. The former project addresses the information credibility criteria of web content using natural language processing (NLP) technology. The latter project aims to develop a knowledge cluster system that manages knowledge on enormous numbers of sites.
机译:互联网用作社交基础架构,并存储大量信息。每当他们需要信息时都会使用互联网。互联网的主要作用是从数字内容共享到知识共享的主要作用。内科知识集群集团正在研究和开发“通用通信”的信息分析技术。为了实现普遍的通信,我们必须克服几个障碍。信息分析是克服“信息质量”屏障的基本技术。使其难以从互联网中提取最有用信息的过度统计学称为信息爆炸。消费者生成介质(CGM)的量越来越迅速,但内容可能既不是有价值的也不是值得信赖的。普通的Web搜索引擎无法评估内容。但是,如果我们可以评估信息的可信度,可信的数字内容将在互联网上轻松访问知识。我们认为,信息分析技术找到有关Web内容的更高质量信息,使我们能够克服“信息质量”的屏障。关于信息信誉标准的“知识知识集群”的研究项目侧重于知识集群系统的信息分析。前项目使用自然语言处理(NLP)技术来解决Web内容的信息可信标准。后一项项目旨在开发一个知识集群系统,用于管理巨大数量的网站知识。

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