Fuzziness and context-awareness in decision-making schemas for semantic web

语义网概念的引入带来了预测，以及自动查找和访问Web上的信息和服务的承诺。不确定性是信息和知识的一个组成部分。我们处理的许多概念都没有准确的定义，或者缺少或不准确的数据。互联网上也存在这种情况，许多信息来源可能被破坏，或者部分和暂时无法访问。然而，不确定性不仅与存储在网络上的数据和信息有关--而且用户也会造成歧义和不准确。在许多情况下，用户关于选择最合适的替代品的决定在很大程度上取决于当前的情况、对情况的了解、需求和要求，以及用户选择新的和/或不寻常的东西的“情绪”。选拔过程的所有这些方面自然都是模棱两可的。为了使网络成为一个用户友好的环境，用户可以轻松、快速、准确地找到他们正在寻找的东西，必须开发新的网络利用工具。

An introduction of the concept of Semantic Web has brought predictions, as well as promises of automatic finding and accessing information and services on the web. Uncertainty is an integral component of information and knowledge. Many concepts we deal with are without precise definitions, or with missing or inaccurate data. Such a situation is also present on the Internet where many sources of information could be corrupted, or partially and temporally inaccessible. However, uncertainty is not only associated with data and information stored on the web - also users cause ambiguity and imprecision. In many cases, users' decisions regarding selection of most suitable alternatives heavily depend on current circumstances, understanding of a situation, needs and requirements, as well as users' "mood" for selecting something new and/or unusual. All those aspects of a selection process are naturally ambiguous. In order to make the web a user-friendly environment where users can easily, quickly, and precisely find things they are looking for, new web utilization tools have to be developed.