QIC: Query in Context for Educational Collections

凭借其可访问性和内容的爆炸性增长，NSDL知识库处于有利地位，可以提供教师和其他知识寻求者所需的高质量材料。尽管如此，研究表明教师对在线资源的不满。他们对在搜索合适的材料时检索和审查每个链接的耗时的人工努力感到沮丧。这通常会导致满足于足够好的内容。为了保持和提高NSDL优质资源的利用率，开发一种更复杂的查询和检索方法是非常重要的。教育典藏上下文中的查询是一个研究项目，它利用上下文敏感检索、语义查询分析和概念提取技术来创建QIC的可移植的统一知识发现系统。QIC将提取过程中的人为干预降至最低，并减少了显示的上下文不准确结果的数量。它将信息过载的负担从用户转移到计算机，从而给个人搜索带来了革命性的变化。QIC的功能扩展了NSDL的ncore搜索服务，而不会对数字收藏的格式和组织进行重大更改，也不会增加用户提供的大量数据。有了QIC，教师可以在最初检索到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，鼓励了知识探索和想法探索。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工具来改进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.