SBIR Phase II: An Analogous Search Engine to Accelerate Innovation

SBIR 第二阶段：加速创新的类似搜索引擎

• 批准号: 1534740
• 负责人: Anthony McCaffrey
• 金额: $ 72.39万
• 依托单位: Innovation Accelerator, Inc.
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2015
• 资助国家: 美国
• 起止时间: 2015-09-15 至 2018-02-28
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1534740&HistoricalAwards=false
• 关键词: SBIR; Phase; II; Analogous; Search

This SBIR Phase II project is developing a novel software platform for conducting analogous search that moves beyond keyword search to support innovation in the fields of science, engineering, and legal. Our patent pending technology is based on the observation that as high as 90% of new innovations are really adaptations of existing solutions. The challenge addressed by this research is how to find these adaptable, existing solutions that are spread across many different fields of study and are described using vastly different jargon. These efforts will greatly increase the discovery of new, innovative solutions to a myriad of engineering problems. The end result will be many new inventions that could greatly improve Americans? lives in unforeseen ways, the potential to produce new jobs and tax revenues. These efforts also will benefit Intellectual Property attorneys to help protect these new inventions in all fields of science and engineering. This project supports the National Science Foundation's mission to support all fundamental fields of science and engineering. The proposed research will further develop Analogy Finder, a novel software platform for conducting analogous search to enhance innovation. The technology is based on the observation that as much as 90% of new innovations are really adaptations of existing solutions. The technology enables engineers and scientists to move beyond keyword (literal) search to analogous (semantic) search to find relevant, adaptable solutions from other disciplines. Analogous search relies on the grammatical verb noun-phrase form, which describes the essential function needed to solve the problem (e.g., reduce concussions). This grammatical form is then transformed into a set of related search phrases using synonyms, key semantic connections, and a proprietary taxonomy. The resulting search output contains more relevant, adaptable solutions to the problem at hand when compared to keyword search. The objectives and methods to be used include: incorporate a unique problem visualization process; add more data sources to Analogy Finder's search capabilities; enable Analogy Finder to search based on multiple verb noun-phrase combinations; develop new ways to organize and prioritize results; and begin identifying metrics to compare Analogy Finder's results with other search engines.

这个SBIR第二阶段项目正在开发一个新的软件平台，用于进行类比搜索，超越关键字搜索，以支持科学，工程和法律的领域的创新。我们正在申请专利的技术是基于高达90%的新创新实际上是对现有解决方案的改编。 这项研究所面临的挑战是如何找到这些适应性强的现有解决方案，这些解决方案分布在许多不同的研究领域，并使用截然不同的术语进行描述。这些努力将大大增加对无数工程问题的新的、创新的解决方案的发现。最终的结果将是许多新的发明，可以大大提高美国人？以不可预见的方式生活，创造新的就业机会和税收的潜力。这些努力也将有利于知识产权律师帮助保护这些科学和工程领域的新发明。该项目支持国家科学基金会的使命，以支持科学和工程的所有基础领域。拟议的研究将进一步开发类比搜索，这是一种用于进行类比搜索以促进创新的新型软件平台。这项技术是基于这样一种观察，即多达90%的新创新实际上是对现有解决方案的改编。该技术使工程师和科学家能够超越关键字（字面）搜索，转而进行类比（语义）搜索，从而从其他学科中找到相关的、适应性强的解决方案。类比搜索依赖于语法动词名词短语形式，它描述了解决问题所需的基本功能（例如，减少脑震荡）。然后，使用同义词、关键语义连接和专有分类法将这种语法形式转换为一组相关的搜索短语。与关键字搜索相比，搜索结果包含更多相关的、适应性更强的解决方案。使用的目标和方法包括：整合一个独特的问题可视化过程;为Analogue搜索引擎的搜索功能添加更多的数据源;使Analogue搜索引擎能够基于多个动词名词短语组合进行搜索;开发组织和优先排序结果的新方法;以及开始确定指标，以将Analogue搜索引擎的结果与其他搜索引擎进行比较。