SBIR Phase II: Project to Create an Automated System to Identify and Curate Web-based Resources for Entrepreneurs

该SBIR第二阶段项目将开发一个在线系统，为企业家寻找和组织最佳的网上资源。企业家有机会创建利润丰厚、改变社会的公司，提供高质量的就业机会，但许多企业家在资本、金融、法律和创业管理方面缺乏技能，而这些技能是将机会转化为成功公司所必需的。许多企业家失败是因为他们“不知道自己不知道的东西”，因为他们不知道可用的资源，或者因为他们不能轻易地找到这些资源。企业家可以获得许多资源，但由于有数百万个关于这个主题的搜索引擎链接，其中最有用的几乎不可能找到。拟议的在线系统将使用机器智能软件来识别和分类广泛的资源。它将使用另一种机器智能系统对这些资源的质量进行评级，然后使用独特的显示系统在动态星座般的界面中显示最有帮助和相关的资源。这是为了提高企业家探索和寻找解决问题所需帮助的能力。这个项目需要最先进的软件开发，以训练计算机识别和鉴定每一种资源，以便选择对企业家最有帮助的资源。通过帮助企业家更成功、更快地发展，该项目将帮助美国经济增长，创造收入和利润，并为全国各地的企业创造新的就业机会。SBIR第二阶段提案的研究目标是提供一个工作系统，通过引导企业家找到最有助于他们取得成功的资源来帮助他们加速发展。具体地说，在这个项目期间，该团队将开发多个机器智能系统，对在线资源进行分类、分类和质量评估；建立在现有Enclavix语义网络的基础上；并与犹他大学合作实施先进的可视化系统。这项第二阶段的提案正在推进所有三个研究领域的研究状况。这个项目将包括开发一个机器智能引擎，以获取企业家关注的基于网络的资源，并将其放在语义网络中的适当类别中。第二个机器智能引擎将解决确定给定资源质量的难题。正在提出的机器智能系统非常复杂，正在突破这项技术的界限，因为需要评估的资源数量很多。此外，同样由于有大量的目标资源可用，可视化和探索数据具有挑战性，需要先进的可视化系统，提供一种成功访问大量数据的新方法。

This SBIR Phase II project will develop an online system to find and organize the best web-based resources for entrepreneurs. Entrepreneurs have the opportunity to create profitable, society-changing companies with high quality jobs, but many entrepreneurs lack skills in the areas of capital, finance, legal and startup management which are required to convert an opportunity into a successful company. Many entrepreneurs fail because they "do not know what they do not know", because they do not know about available resources, or because they cannot readily find those resources. Many resources are available to entrepreneurs, but with millions of search engine links on the topic, the most useful of these are nearly impossible to find. The proposed online system will use machine intelligence software to identify and categorize a wide array of resources. It will use another machine intelligence system to grade the quality of these resources, and then use a unique display system to show the most helpful and relevant resources in a dynamic constellation-like interface. This is designed to improve the ability of entrepreneurs to explore and find the help they need to solve their problems. This project requires state of the art software development to train computers to identify and qualify each resource in order to select those most helpful to entrepreneurs. By helping entrepreneurs be more successful, more rapidly, this project will help grow America's economy, generate revenue and profits and create new jobs for businesses all across the country. The research objective of this SBIR Phase II proposal is to deliver a working system to help accelerate entrepreneurs by guiding them to the resources that will best help them achieve success. Specifically, during this project, the team will develop multiple machine intelligence systems to perform the classification, categorization and quality assessment of online resources; build on the existing Enclavix semantic network; and collaborate with the University of Utah to implement an advanced visualization system. This Phase II proposal is advancing the state of research in all three research areas. This project will include developing a machine intelligence engine to take an entrepreneur focused web-based resource and place it in the proper category in the semantic network. A second machine intelligence engine will solve the difficult problem of determining the quality of a given resource. The machine intelligence systems that are being proposed are very complex and are pushing the boundaries of this technology because of the number of resources that need to be evaluated. In addition, again because of the large number of target resources available, visualizing and exploring the data is challenging and requires an advanced visualization system that provides a new way to successfully access large amounts of data.