SBIR Phase II: Personal-Knowledge-Management eLearning System

SBIR 第二阶段：个人知识管理电子学习系统

• 批准号: 0423443
• 负责人: Robert London
• 金额: $ 49.2万
• 依托单位: TAXONOMIZE
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2004
• 资助国家: 美国
• 起止时间: 2004-08-01 至 2006-07-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=0423443&HistoricalAwards=false
• 关键词: SBIR; Phase; II; Personal; Knowledge

This Small Business Innovation Research (SBIR) Phase II project improves access to knowledge by auto-organizing unstructured data to respond to specific individuals, groups, and their activities. Taxonomize Resource Aid (TRA) uses syntactic, semiotic, semantic and statistical techniques to generate and update resource taxonomies, which are multi-level indices into the information corpus (documents, web sites, etc.) specific to users' activities. These active taxonomies are practice-relevant and personalized, and they provide applications of enhanced search, auto-produced portals, personalized content management, and knowledge discovery. For example, TRA's coordinated knowledge directories produce discovery of trends in time-based documents (such as discussion groups); extraction of information from unstructured data (such as distributed themes); and notifications from monitoring multiple information sources for patterns of confluences (e.g., news relevant to collaborating partners) or discrepancies (e.g., knowledge missing in one area that can be filled from another). Phase II development will take the successful prototype that was tested in educational settings, and create a commercial product (initially as a SOAP/WSDL web service) that will be licensed to firms selling software solutions in the areas of e-learning, search, and knowledge management.Taxonomize Resource Aid (TRA) will provide knowledge tailored for individuals, groups, and activities, and thus will provide people who have been limited by accessibility, resources, or background ready access to resources of knowledge, instruction, and collaboration. The TRA prototype has already been shown to provide significant benefits to some university students who were learning how to do primary research. Those who have difficulty with the culture, language, or technology gain the greatest benefits from TRA, because it gives them accelerated access to knowledge that is automatically selected for relevance to their activities, based on Taxonomize's powerful auto-categorization capabilities. TRA can help in any field where people need to organize, manage, access and use large amounts of information and resources. TRA can help improve education, healthcare, defense, and government organizations process information quickly, especially when dealing with immediate and critical situations. It can also help disadvantaged people find necessary resources, and keep updated with changes that would otherwise be infeasible to monitor. TRA improves knowledge accessibility, flexibility and adaptability and affordability of general learning capabilities, and so may benefit formal and informal learning in every area.

该小型企业创新研究(SBIR)第二阶段项目通过自动组织非结构化数据来响应特定的个人、团体及其活动，从而改进了获取知识的途径。分类资源辅助(TRA)使用语法、符号、语义和统计技术来生成和更新资源分类，这些分类是对信息语料库(文档、网站等)的多级索引。特定于用户的活动。这些主动分类是与实践相关的和个性化的，它们提供了增强的搜索、自动生成的门户、个性化内容管理和知识发现的应用。例如，TRA的协调知识目录产生基于时间的文档(例如讨论组)中的趋势的发现；从非结构化数据(例如分布式主题)中提取信息；以及从监视多个信息源的汇合模式(例如，与合作伙伴相关的新闻)或差异(例如，在一个领域中缺失的、可以从另一个领域填充的知识)的通知。第二阶段的开发将采用在教育环境中测试的成功原型，并创建一个商业产品(最初作为一种SOAP/WSDLWeb服务)，该产品将被授权给销售电子学习、搜索和知识管理领域的软件解决方案的公司。分类资源援助(TRA)将提供为个人、团体和活动量身定做的知识，从而为受可访问性、资源或背景限制的人提供随时可访问的知识、指导和协作资源。TRA原型已经被证明为一些正在学习如何进行初级研究的大学生提供了显著的好处。那些在文化、语言或技术方面有困难的人从TRA中获得了最大的好处，因为它使他们能够更快地访问知识，这些知识是根据TRA强大的自动分类功能自动选择的，与他们的活动相关。在人们需要组织、管理、获取和使用大量信息和资源的任何领域，TRA都可以提供帮助。TRA可以帮助改善教育、医疗保健、国防和政府组织快速处理信息，特别是在处理紧急和危急情况时。它还可以帮助处于不利地位的人找到必要的资源，并随时更新否则无法监测的变化。TRA提高了知识的可及性、灵活性、适应性和一般学习能力的可负担性，因此可能有利于各个领域的正规和非正规学习。