大规模异构信息系统的三图构造

Bing Li
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引用次数: 0

摘要

本文提出了一系列以社会资本为导向的视角来解决互联网上大规模异构信息的访问问题。本文认为最关键的任务是构建连接人力资本要素的三个社会图谱,即数据、渠道和人。作为底层基础设施,图在信息访问的各种行为上发展。此外,它还通过展示高质量的高性能信息来维持这些行为。三种社会图谱作为系统的主体,在物质资本和人力资本之间起着中介作用。然而,它假设没有足够的用户参与就不能创建图形,并且任何算法都不能模仿它们的增长过程。为了启动系统,促进系统的发展,提出了粗略、严格和折衷三种构建种子图的方法。其中,折衷方案具有成本低、信息获取能力强等优点,是可行的。文中还介绍了算法的具体实现和相关的评价方法。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Constructing the Three Graphs for the Large-Scale Heterogeneous Information System
The paper proposes a bunch of social capital oriented perspectives to resolve the issue of accessing the large-scale heterogeneous information over the Internet. It believes the most critical task for that is to construct the three social graphs that connect the human capital components, i.e., the data, the channel and the human. As the underlying infrastructure, the graphs evolve upon various behaviors of information accessing. Moreover, it also sustains those behaviors in terms of exhibiting high quality information with high performance. As the dominance of the system, the three social graphs play the role of a broker between the physical capital and the human capital. However, it supposes that neither the graphs can be created without sufficient users' participations nor their growing procedures can be imitated by any algorithms. To initiate the system and foster its growth, it puts forward the three approaches, i.e., the rough, the strict and the compromised, to construct the seed graphs. In them, the compromised one is feasible because of its low cost and strengthening information accessing. It also describes the practical implementation of the algorithms and the relevant evaluation solutions.
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