Intelligent search assistance

根据IDC的白皮书《找不到信息的高成本》，知识工作者每天花费2.5小时搜索信息。假设他们要么最终找到了他们想要的东西，要么停下来，最终做出了一个非最优的决定，这两种结果都有很高的成本。事实上，这一问题对于知识型职业尤为严重。例如，医疗保健行业依赖于对多个文献来源进行艰苦细致的搜索，作为循证决策方法的基础。然而，系统的文献综述可能需要数年时间才能完成，并且通常会受到他们所依赖的搜索策略的错误和效率低下的影响。为了解决这个问题，UXLabs正在开发一种传统关键字搜索的激进替代方案。我们正在创建一个新颖的视觉框架，允许用户通过简单但强大的视觉语法来表达复杂的信息需求。该项目的目的是研究和开发一种基于知识的概念生成方法，该方法可以集成到我们的视觉框架中，以提供一种有可能深刻改变信息需求表达方式的解决方案。通过结合对最佳结构和最佳内容的支持，我们可以在广泛的目标市场中提高搜索策略制定的效率和有效性。

According to the IDC whitepaper, The High Cost of Not Finding Information, knowledge workers spend 2.5 hours per day searching for information. Assuming they either find what they are looking for eventually or stop and end up making a non-optimal decision, there is a high cost to both outcomes. Indeed, this problem is particularly acute for knowledge-based professions. The healthcare industry, for example, relies on painstaking and meticulous searching of multiple literature sources as the foundation of the evidence-based approach to decision making. However, systematic literature reviews can take years to complete, and are often compromised by errors and inefficiencies in the search strategies they rely on. To address this problem, UXLabs is developing a radical alternative to traditional keyword search. We are creating a novel, visual framework which allows users to express complex information needs via a simple but powerful visual syntax. The aim of this project is to research and develop a knowledge-based approach to concept generation which can be integrated within our visual framework to deliver a solution which has the potential to profoundly change the way that information needs are expressed. By combining support for both optimal structure and optimal content we can improve their efficiency and effectiveness of search strategy formulation across a broad range of target markets.