Nichakorn Pankong, Somchai Prakancharoen, M. Buranarach
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引用次数: 11
摘要
web 2.0技术,尤其是社交网络已经改变了人们的行为、态度、互动和关系。用户在社交网站上的活动产生了显性和隐性的关系。对于具有对称和非对称关系类型的站点,可以区分这些关系。在本文中,我们提出了一个结合显式和隐式关系的语义社交网络分析框架,用于推荐社交媒体网站上的用户成员组。该框架利用语义技术,即本体和RDF来集成来自不同站点的结果数据。在此基础上,提出了一种基于社交网站的用户与活动本体设计。使用FOAF词汇表演示了一个集成用户概要文件的示例。
A combined semantic social network analysis framework to integrate social media data
The technology of web 2.0 especially social networking has changed people's behavior, attitudes, interactions, and relationships. User activities on social networking sites have created both explicit and implicit relationship. The relations can be distinguished for the sites with symmetric and asymmetric relationship types. In this paper, we propose a framework for semantic social network analysis for recommending user member groups on social media sites that combines explicit and implicit relationship. The framework utilizes semantic technology, i.e. ontology and RDF, to integrate the resulted data from different sites. Moreover, a presentation of a ontology design for user and activities referring to social network sites. An example of the integrated user profile is demonstrated using FOAF vocabulary.