Reference list of 269 sources used for exploratory search

Today's digital libraries (DLs) archive vast amounts of information in the form of text, videos, images, data measurements, etc. User access to DL content can rely on similarity between metadata elements, or similarity between the data itself (content-based similarity). We consider the problem of exploratory search in large DLs of time-oriented data. We propose a novel approach for overview-first exploration of data collections based on user-selected metadata properties. In a 2D layout representing entities of the selected property are laid out based on their similarity with respect to the underlying data content. The display is enhanced by compact summarizations of underlying data elements, and forms the basis for exploratory navigation of users in the data space. The approach is proposed as an interface for visual exploration, leading the user to discover interesting relationships between data items relying on content-based similarity between data items and their respective metadata labels. We apply the method on real data sets from the earth observation community, showing its applicability and usefulness.当今的数字图书馆（Digital Libraries，DLs）以文本、视频、图像、实测数据等形式归档了海量信息。用户对数字图书馆内容的访问，可依托元数据元素间的相似度，或是数据本身的相似度（基于内容相似度，content-based similarity）。本文聚焦于面向时序数据的大型数字图书馆中的探索式搜索问题，提出了一种基于用户选定元数据属性的、面向数据集合的概览优先探索新方法。在该方法的二维布局中，所选属性对应的实体将根据其与底层数据内容的相似度进行排布；该展示通过对底层数据元素的精简摘要进行优化增强，并以此作为用户在数据空间中开展探索式导航的基础。本方法作为一种视觉探索界面被提出，可引导用户借助数据项与其对应元数据标签之间的基于内容相似度，发现数据项间的有趣关联。我们将该方法应用于地球观测领域的真实数据集，验证了其适用性与实用价值。