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

我对开发理论和应用程序感兴趣，以便能够以新的和强大的方式利用信息系统共享知识。我的研究的基础是，知识共享需要在内容和背景上具有共性。内容上的共同性指的是对词汇、规则和惯例的含义的共同理解。语境共性是指共享者的共同特征和所处的环境。那些拥有相似背景的人比那些背景不同的人更有可能有共同的理解，因此更容易更有效地使用知识共享系统。我研究的基本论点是，通过结合内容(本体)和上下文(来自社交网络分析)的模型构建的知识共享系统比仅建立在内容或上下文模型上的系统更有效。随着基于Web的计算演变为一种普遍称为Web2.0的范例，我计划探索将Web2.0概念和工具应用到我的研究论文中的研究机会。具体地说，我计划使用企业Wiki、博客、社交书签和社交网络作为资源来解释和提炼本体的内容，并分析链接结构来建模本体的上下文。语义网技术将被用来实现这些本体。

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.