CRI: Collaborative Research: Improving Experimental Computer Science with a Searchable Web Portal for Data Sets

该合作项目开发和填充了一个基于Web的数据集门户，为在线搜索、查询和浏览研究数据集提供了一个强大的前端，该前端耦合到一个智能后端系统，该系统动态地提供数据集、研究论文、技术、作者、资助和期刊/会议之间的交叉引用。这些数据集链接到了位于马萨诸塞州大学的研究论文数字图书馆REXA。这项工作用结构化的元信息重新设计了UCI数据集档案，允许在Web上进行查询，创建了具有统一的可查询元数据的研究数据集的正式存储库。该系统建立在UCI机器学习和KDD数据仓库的基础上。在机器学习、数据挖掘、应用统计学、语言建模、信息检索、计算机视觉和语音识别等研究领域，方法通常是在公开可用的数据集上进行评估的。虽然这些数据集通常是通信的共同试金石，但识别和定位随意分布在各种网站上的特定数据会带来一些困难。这项工作创建了一个社区资源来解决这个问题。广泛的影响：该项目直接影响实证研究、教学和大多数协作研究活动。浏览提出新模型和新应用的数据应该会激励研究人员和学生。现实世界的数据集不仅拓宽了研究范围，还必然会鼓励教师将这些纳入课程。共享数据应该会带来来自多个领域的更多合作。

This collaborative project, developing and populating a Web-based Dataset Portal, provides a powerful front-end for online searching, querying, and browsing research datasets coupled to an intelligent back-end system that dynamically provides cross-references among datasets, research papers, techniques, authors, grants, and journals/conferences. The datasets are linked to Rexa, a research paper digital library at U Mass. The work redesigns the UCI dataset archive with structured meta information that allow queries on the web creating a formalized repository of research datasets with uniform queryable metadata. The system is built on the UCI Machine Learning and KDD Data Repositories. In research areas such as machine learning, data mining, applied statistics, language modeling, information retrieval, computer vision, and speech recognition, methodologies are often evaluated on publicly available datasets. Although these Datasets often serve as a common touchstone for communication, identifying and locating specific data spread haphazardly across various Web sites presents some difficulty. This work creates a community resource to address this problem.Broader Impact: The project directly impacts empirical research, teaching, and most collaborative research activities. Browsing data that suggest new models and applications should inspire researchers and students. Real world data sets not only broaden research but are also bound to encourage teachers to incorporate these in the curriculum. Sharing data should bring about more collaboration from multiple areas.