eLinda：链接数据浏览器
eLinda: Explorer for Linked Data
摘要：
为了实现语义Web面向知识型机器的前提，人们可能经常将应用程序与新兴的RDF图集成在一起。然而，通过现有工具捕获丰富且开放的RDF图的内容需要时间和专业知识。我们演示了eLinda -一个关联数据的浏览器。eLinda解决的挑战是理解给定RDF图的丰富内容。核心功能是一个探索路径，其中每一步都会生成一个条形图（直方图），该图可视化了一组节点（URI）中类的分布。反过来，每个条形图代表一组节点，这些节点可以通过路径中的条形图进一步扩展。我们允许三种类型的探索：子类分布，属性分布和所选属性的对象分布。
英文摘要：
To realize the premise of the Semantic Web towards knowledgeable machines, one might often integrate an application with emerging RDF graphs. Nevertheless, capturing the content of a rich and open RDF graph by existing tools requires both time and expertise. We demonstrate eLinda - an explorer for Linked Data. The challenge addressed by eLinda is that of understanding the rich content of a given RDF graph. The core functionality is an exploration path, where each step produces a bar chart (histogram) that visualizes the distribution of classes in a set of nodes (URIs). In turn, each bar represents a set of nodes that can be further expanded through the bar chart in the path. We allow three types of explorations: subclass distribution, property distribution, and object distribution for a property of choice.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
