Pragmatics and Semantics in Social Tagging Systems II

我们建议继续当前项目“社会标签系统中的语用学和语义学”的研究路线，该项目旨在更深入地了解基于网络的信息系统中语用学和语义学之间的可能关系。我们将以该项目产生的结果为基础，并将其扩展到几个维度。(i)我们希望通过超越基于启发式的方法并专注于基于机器学习的技术来扩展测量语义的方法。（ii）虽然我们主要通过研究用户动机来研究实用主义方面，但在未来，我们希望通过使用马尔可夫模型研究导航来扩展我们的研究。基于这些扩展，我们希望通过开发集成的机器学习方法进一步研究基于web的信息系统中语用学和语义之间的相互关系。

We propose to continue the line of research conducted in the current project Pragmatics and Semantics in Social Tagging Systems that aims to gain deeper insights into possible relations between pragmatics and semantics in web-based information systems. We will base our work on the results produced by this project and extend it along several dimensions. (i) We want to extend methods for measuring semantics by going beyond heuristic-based approaches and focusing on techniques that are based on machine learning. (ii) While we have investigated pragmatic aspects predominately by studying user motivation, in the future we want to extend our investigations by studying navigation using Markov models. Based on these extensions, we want to study further interrelationships between pragmatics and semantics in web-based information systems by developing integrated machine learning approaches.