SBIR Phase I: Serendipitous Search System Using Lateral Analogy to Match Potential Solutions to Unmet Needs:Feasibility Study Based on Screening Approved Drugs for Potential Repur

这个小企业创新研究（SBIR）第一阶段项目的重点是通过发现在其他不相关的知识网络中的横向联系，开发新的思维和创新方法。在人类知识和活动的许多领域中，一个共同的特征是信息内容正在以如此快的速度扩展，以至于找到与搜索解决方案相关的结果变得越来越困难。另一个问题是，即使是高质量的材料也在以如此快的速度扩张，以至于大多数学科都在迅速形成子学科。随着领域的不断扩展，一方面在知识总量方面达到最高水平，另一方面在更细的层面上通过分裂成更多的子领域而扩展，每个子领域都可能发展出自己的期刊、会议甚至术语，外人无法理解。跟上潮流变得越来越不可能。然而，很多创造力都在发生，事实上，世界上有很多创造力？伟大的发明恰恰发生在不同领域的交叉点上。这个第一阶段项目的中心目标将是通过连接不同的知识领域来确定可解析本体的效用，以支持构思和创新。该项目的广泛影响/商业潜力跨越多个领域和市场，包括但不限于制药、医疗设备、材料科学、半导体设备、化学加工、法律发现、专利分析和财务分析。在这些领域中，不同知识领域的“筒仓化”往往有所增加，它们之间的获取和语言障碍也在增加，这给学术界和工业界带来了明显的挑战。随着这种情况的恶化，需要有更好的方法来组织、翻译和向用户呈现信息，并为用户的问题（他们的“未满足的需求”）找到解决方案。我们所需要的是一种探索系统，它给搜索者提供了强大的偶然性元素，最大可能地从各种各样的、意想不到的、潜在的挑衅来源中获得结果，而这是任何竞争对手都没有提供的。这将为不同学科之间的知识转移提供一种快速、相关的手段，从而打破藩篱，促进对潜在解决方案的认识从一个领域迅速传播到另一个领域，促进跨学科创新。最初的客户焦点将是在研发活动上有大量投资的特定公司客户，并且很可能存在知识的内部筒仓，例如制药公司。

This Small Business Innovation Research (SBIR) Phase I project is focused on the development of novel methods for ideation and innovation through the discovery of lateral connections in otherwise unconnected knowledge networks. In many fields of human knowledge and activity, a common feature is that information content is expanding at such a rate that finding relevant results to searches for solutions is becoming increasingly difficult. A further problem is that even the high quality material is expanding at such a rate that most disciplines are rapidly forming sub-disciplines. As fields continue to both expand both at the top levels in terms of overall amount of knowledge, and to expand at the more granular levels by fragmentation into ever more numerous subfields, each of which may develop its own journals, conferences and even terminology, impenetrable to the outsider. It's becoming impossible to stay current. Yet much of creativity occurs, and indeed a great many of the world?s great inventions have occurred, precisely at the intersections between different fields. The central objective of this Phase I project will be to determine the utility of a parsable ontology for supporting ideation and innovation by connecting diverse knowledge domains. The broader impact/commercial potential of this project spans multiple fields and markets, including but not limited to pharmaceuticals, medical devices, materials science, semiconductor devices, chemical processing, legal discovery, patent analyses, and financial analytics. In each of these fields, there is often an increase in 'silo-ing' of different knowledge domains, with the development of access and language barriers in between them, presenting clear challenges to academia and industry. As this situation worsens, there is need of ever better ways to organize, translate and present information to users, and to find solutions to users' problems (their 'unmet needs'). What is needed, and not yet offered by any competitor, is an exploration system giving searchers a strong serendipitous element with a maximum likelihood of results having come from a diverse, unexpected, and potentially provocative source. This will break down silos by providing a rapid, relevant means for knowledge-transfer between different disciplines to facilitate the ready spread of awareness of a potential solution from one field to another, fostering interdisciplinary innovation. The initial customer focus will be on particular corporate clients with a heavy investment in R&D activities and a high probability of internal silo-ing of knowledge, such as pharmaceutical companies.