Knowledge graphs denote structured data which represent entities and relationships between them in a form of a graph, often expressed in the RDF data model. It may be hard for lay users to explore existing knowledge graphs, especially when graphs from different data sources need to be integrated. In this paper, we present an approach to knowledge graph visual exploration based on the concept of shareable and reusable visual configurations. A visual configuration comprises domain specific views on a knowledge graph which define operations such as node detail or expansion. These operations are easy to understand for lay users who can use them to explore a graph while complexities unnecessary in a given application context remain hidden. We introduce an ontology which enables to express and publish visual configurations and reuse their components in other configurations. We also provide an experimental implementation called KGBrowser. We evaluate the proposed approach with real users. We also compare our implementation KGBrowser with other existing tools for knowledge graph visualization and exploration.

知识图表示结构化数据，这些数据以图的形式表示实体及其之间的关系，通常在 RDF 数据模型中表示。外行用户可能很难探索现有的知识图谱，尤其是当需要集成来自不同数据源的图谱时。在本文中，我们提出了一种基于可共享和可重用视觉配置概念的知识图视觉探索方法。可视化配置包括知识图上的特定领域视图，这些视图定义了诸如节点详细信息或扩展之类的操作。这些操作对于可以使用它们来探索图形的非专业用户来说很容易理解，而在给定的应用程序上下文中不必要的复杂性仍然是隐藏的。我们引入了一个本体，它能够表达和发布可视化配置并在其他配置中重用它们的组件。我们还提供了一个名为KG浏览器。我们与真实用户一起评估所提出的方法。我们还将我们的实现 KGBrowser 与其他现有的知识图可视化和探索工具进行了比较。