Knowledge Graphs (KG) allow to merge and connect heterogeneous data despite their differences; they are incomplete by design. Yet, KG data producers need to ensure the best level of completeness, as far as possible. The difficulty is that they have no means to distinguish cases where incomplete entities could and should be fixed. We present a new visualisation tool: The Missing Path, to support them in identifying coherent subsets of entities that can be repaired. It relies on a map, grouping entities according to their incomplete profile. The map is coordinated with histograms and stacked charts to support interactive exploration and analysis; the summary of a subset can be compared with the one of the full collection to reveal its distinctive features. We conduct an iterative design process and evaluation with 9 Wikidata contributors. Participants gain insights and find various strategies to identify coherent subsets to be fixed.

翻译：知识图(KG)尽管存在差异,但能够将各种数据合并和连接起来;它们的设计不完全;然而,KG数据制作人需要确保尽可能做到最完整;困难在于他们没有办法区分不完全实体能够而且应该固定的案例;我们提出了一个新的可视化工具:缺失路径,支持他们确定可以修复的实体的连贯子集;它依靠地图,根据不完整的剖面将实体分组;地图与直方图和堆叠的图表相协调,以支持互动探索和分析;子集的概要可以与完整收藏的组合相比较,以揭示其独特特征;我们与9个维基数据贡献者进行迭接的设计和评估;参与者获得洞见,并找到各种战略,以确定需要固定的连贯子集。