Semantic web framework for designing personalized information and adaptive web services

网络上海量的信息已经造成了被广泛引用的信息过载问题，用户发现它在认知上有压力，很难找到“相关”的信息。我们正在进行一项信息个性化（IP）研究项目，该项目旨在通过描述用户的人口统计、知识、兴趣、偏好、需求、目标和行为态度的个人资料来指导用户个性化基于网络的信息中介体验。我们的IP方法超越了基于web的信息的个性化接口级表示的流行技术。相反，我们解决了更复杂的问题，即个性化交付给用户的实际信息内容。

The sheer volume of information available over the Web has created the much-cited information overload problem whereby users are finding it cognitively stressful and difficult to find 'relevant' information. We are pursuing an Information Personalization (IP) research program that seeks to personalize the users web-based information mediation experience guided by a profile that characterizes their demographics, knowledge, interests, preferences, needs, goals and behavioural attitudes. Our IP approach extends beyond the prevailing techniques for personalizing the interface-level presentation of web-based information. Instead, we address the more complex issue of personalizing the actual information content delivered to users.