QIC: Query in Context for Educational Collections

由于其可访问性和内容的爆炸性增长，NSDL存储库处于提供教师和其他知识寻求者所需的优质材料的首要位置。尽管如此，研究表明教师对在线资源的不满。在搜索适当的材料时，他们对检索和审查每个链接的耗时手动工作感到沮丧。这通常会导致满足于足够好的内容。为了维持和提高NSDL的优质资源的利用率，重要的是要开发一个更复杂的查询和检索方法，查询在上下文中的教育收藏（QIC）是一个研究项目，利用上下文敏感的检索，语义查询分析和概念提取技术，建立QIC的可移植的统一的知识发现系统。QIC最大限度地减少了提取过程中的人为干预，并减少了显示的上下文不准确结果的数量。它通过将信息过载的负担从用户转移到计算机来彻底改变个人搜索。QIC的功能扩展了NSDL的NCore搜索服务，而不会对数字集合的格式和组织或用户提供的大量额外数据进行重大更改。通过QIC，教师可以在最初检索的条目中找到相关信息，从而通过减少时间和精力来提高满意度。这种有效性提高了数字图书馆的利用率，鼓励知识寻求和想法探索。这有助于NSDL和合作伙伴收藏的可持续性。QIC的长期目标是通过发现多种格式的信息并结合Web2.0工具来改善结果的显示和相关性，从而提供个性化的信息检索。

With its accessibility and explosive growth of content, the NSDL repositories are in a prime position to provide quality material teachers and other knowledge seekers need. Still, studies show teachers' dissatisfaction with online resources. They are frustrated with the time-consuming manual effort to retrieve and review each link when searching for appropriate material. This often leads to settling for good enough content. To sustain and increase the utilization of NSDL's quality resources, it is important a more sophisticated methodology for query and retrieval be developed.Query in Context for Educational Collections (QIC) is a research project utilizing context sensitive retrieval, semantic query analysis, and concept extraction techniques to create QIC's portable unified knowledge discovery system. QIC minimizes human intervention in the extraction process and reduces the number of contextually inaccurate results displayed. It revolutionizes individual search by shifting the burden of information overload from the user to the computer. QIC's functionality extends NSDL's NCore search services without significant changes to the format and organization of digital collections or extensive additional user provided data. With QIC, teachers find relevant information in the initially retrieved entries, thereby increasing satisfaction through reduced time and effort. This effectiveness improves digital library utilization, encourages knowledge seeking, and idea exploration. This contributes to the sustainability of NSDL and partner collections. QIC's long-term goal is to provide personalized information retrieval by discovering information in multiple formats and incorporating Web2.0 tools to improve the display and relevance of results.