论文标题
路径概述：浏览基于路径的知识图摘要
Path Outlines: Browsing Path-Based Summaries of Knowledge Graphs
论文作者
论文摘要
知识图已成为无处不在的技术，为搜索引擎，推荐系统，连接的对象，公司知识管理和开放数据提供了动力。他们依靠可以组合的少量信息单位来形成跨数据集的更高级别的语句，遵循信息需求。但是数据生产者面临一个问题：重建三元组的链具有很高的认知成本，这阻碍了他们获得自己数据集的有意义的概述。我们介绍路径概述：概念对象，表征具有描述性统计的三元组序列。我们采访了11个数据生产商来评估他们的兴趣。我们提供路径概述，这是一种基于2个新型可视化的协调视图，用于浏览基于路径的摘要的工具。我们将路径概述与当前基线技术与36名参与者进行了比较。我们证明它的速度更快3倍，可以使参与者更喜欢的任务完成，更少的错误，并且更容易找到任务。
Knowledge Graphs have become a ubiquitous technology powering search engines, recommender systems, connected objects, corporate knowledge management and Open Data. They rely on small units of information named triples that can be combined to form higher level statements across datasets following information needs. But data producers face a problem: reconstituting chains of triples has a high cognitive cost, which hinders them from gaining meaningful overviews of their own datasets. We introduce path outlines: conceptual objects characterizing sequences of triples with descriptive statistics. We interview 11 data producers to evaluate their interest. We present Path Outlines, a tool to browse path-based summaries, based on coordinated views with 2 novel visualisations. We compare Path Outlines with the current baseline technique in an experiment with 36 participants. We show that it is 3 times faster, leads to better task completion, less errors, that participants prefer it, and find tasks easier with it.
