Using ontologies and social network analysis for web 2.0 enabled knowledge sharing

我感兴趣的是开发理论和应用程序，使新的和强大的方式来分享知识，使用信息系统。我的研究的基础是，知识共享需要在内容和背景的共同性。内容的共同性是指对词汇、规则和惯例的含义有共同的理解。语境共性是指共享者的共同特征和环境。那些有着相似背景的人更有可能拥有共同的理解，因此比那些背景不同的人更容易有效地使用知识共享系统。我的研究的基本论点是，通过结合内容（本体论）和上下文（从社会网络分析）的模型构建的知识共享系统比单独建立在内容或上下文模型上的系统更有效。随着基于Web的计算发展到一个普遍称为Web 2.0的范式，我计划探索的研究机会，在于应用Web 2.0的概念和工具，我的研究论文。具体来说，我计划使用企业Wiki、博客、社会书签和社会网络作为源来解释和细化本体的内容，并分析链接结构来建模本体的上下文。语义网技术将用于实现这些本体。

I am interested in developing theories and applications for enabling new and powerful ways to share knowledge using information systems. The basis of my research is that knowledge sharing requires commonality in content AND context. Commonality in content refers to shared understanding of meanings of vocabulary, rules, and conventions. Commonality in context refers to common characteristics and environment of the sharers. Those that share similar contexts are much more likely to have shared understanding and hence apt to use a knowledge sharing system more effectively than those whose contexts are different. The underlying thesis of my research is that a knowledge sharing system constructed by combining models of content (ontologies) and context (from social network analysis) is more effective than a system built on models of content or context alone. With Web-based computing evolving to a paradigm popularly termed Web 2.0, I plan to explore the research opportunity that lies in applying Web 2.0 concepts and tools to my research thesis. Specifically, I plan to use corporate Wikis, blogs, social bookmarks, and social networking as sources to explicate and refine the content of ontologies, and analyze link structures to model the context of ontologies. Semantic Web technologies will be used to implement these ontologies.