Development of Systematic Acquisition System of Information Graded by Reliability from Large-scale Linked Data

讨论了从广泛分布的大规模数据中获取有用信息的方法和方法。然而，利用链接数据结构的性质来获取信息的方法很少。而且，分析结果并不容易理解。在本研究中，我们尝试开发一种新的采集系统来减少信息的不可靠性。该系统由大规模动态网络的结构分析方法、从局部信息评估整个网络结构的方法、增强的TrustRank以及可视性高的信息显示方法组成。

The method and methodology for acquiring useful information from the widely distributed large-scale data have been discussed. However, there are few methods of acquiring information which utilizes the nature of the linked data structure. Moreover, it is not easy to understand the results of analysis. In this study, we attempt to develop a new acquisition system with which to reduce information unreliability. The system consists of a structural analysis method for the large-scale dynamical network, an evaluation method of the whole network structure from partial information, the enhanced TrustRank, and an information displaying method in which visibility is high.