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

我感兴趣的是发展理论和应用，使新的和强大的方式来分享知识，利用信息系统。我的研究基础是知识共享需要内容和语境的共性。内容的共同性是指对词汇、规则和惯例的意义有共同的理解。语境中的共性是指共享者的共同特征和共同环境。那些背景相似的人更有可能有共同的理解，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。我研究的基本论点是，结合内容（本体）和上下文（来自社会网络分析）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的计算发展成为一种通常被称为Web 2.0的范式，我计划探索将Web 2.0概念和工具应用到我的研究论文中的研究机会。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资源来解释和细化本体的内容，并分析链接结构以对本体的上下文建模。语义Web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.