DashSearch LD: Exploratory Search for Linked Data
DashSearch LD: Exploratory Search for Linked Data
复制标题
DashSearch LD：探索性搜索关联数据
DOI：
10.1007/978-3-642-37996-3_26
复制
发表时间：
2013
期刊：
影响因子：
--
通讯作者：
H. Takeda and M. Hamasaki
中科院分区：
文献类型：
--
作者：
T. Goto;H. Takeda and M. Hamasaki
尽管以链接开放数据 (LOD) 形式收集的大量数据集更适合数据共享和重用，但数据集本身变得更加难以理解。由于每个数据集都有自己的数据结构，因此我们需要单独了解数据集。此外，由于数据集中的实体是互连的，因此我们需要了解数据集之间的互连。换句话说，理解数据对于利用 LOD 至关重要。在本文中，我们展示了一种名为 DashSearch LD 的新颖系统，用于通过探索性搜索方法来理解和使用 LOD。用户通过查看和选择数据集中的实体来交互式地探索数据集。具体来说，用户通过用鼠标移动和重叠窗口小部件来操作屏幕上的小部件，以检查实体、在它们上绘制详细数据并获取由小部件链接的其他实体。
Although a large number of datasets gathered as Linked Open Data (LOD) is better for data sharing and re-using, the datasets themselves become more difficult to understand. Since each dataset has its own data structure, we need to understand datasets individually. In addition, since the entities in datasets are interconnected, we need to understand the interconnections between datasets. In other words, understanding the data is crucial for exploiting LOD. In this paper, we show a novel system called DashSearch LD to understand and use LOD with an exploratory search approach. The user interactively explores datasets by viewing and selecting entities in the datasets. Specifically, the user manipulates widgets on the screen by moving and overlapping them with a mouse to check entities, draw detail data on them, and obtain other entities linked by the widgets.