面向社会网络的个人本体生成与可视化协同Web

Trong Hai Duong, Mohammed Nazim Uddin, Geun-Sik Jo
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引用次数: 1

摘要

有大量的索引网络资源被地球上每个国家的数百万用户使用。正是如此庞大的内容和跨越空间和时间的信息整合,使得网络本身包含了一个社交网络。在本文中,我们提出了一种基于协作网络的社交网络构建和可视化框架,其中提出了一种共识方法来识别来自不同网络搜索空间(包括个人/组织网站、博客、出版物)的用户个人信息。从个人信息中自动生成个人本体。通过分析从每个目标用户的不同搜索空间中发现的人、内容和组织之间的关系来进行社交网络的构建。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Collaborative Web for Personal Ontology Generation and Visualization for a Social Network
There is a huge amount of indexed web resources are used by millions of users in every country the Earth. It is this huge amount of the content and the integration of information across space and time that leads to the Web containing itself a social network. In this paper, we proposed a frame- work for construction and visualization of a social network by collaborative web approach, in which a consensus method is proposed to identify personal information from different web search spaces (include personal/organizational sites, blogs, publications) of user. A personal ontology is automatically generated from the personal information. Construction of social network is carried out by analyzing relationship among people, contents and organizations found from the different search spaces of each target user.
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