文章基本信息

标题：University Semantic Grid Social Network (USGSN)
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作者：Raffat SheikhKashif ; Shafiq Farhan ; MuhammadShahab Siddiqui 等
期刊名称：Research Journal of Recent Sciences
电子版ISSN：2277-2502
出版年度：2013
卷号：2
期号：2
页码：54-58
语种：English
出版社：International Science Community Association
摘要：Social networks are links between nodes that can be people, datasets, tools and other resources. Through these networks, different communities connected to other and share information. The semantic web provides the aggregating information across heterogeneous sources. The semantic web will allow different communities to share unambiguous information by using ontologies. Information that is missing or hard to access for our machines can be made accessible using ontologies. In the University Semantic Grid Social Network (USGSN) project, using the core concept of semantic grid and (online) social network as middleware, will improve online content management, resource sharing and searching, especially for analysis and processing experimental information and other educational resources. To analyze interaction among different users of USGSN, Community Algorithm can be applied.
关键词：Community algorithm;educational network;ontology;semantic grid;social network