The Missing Path: Analysing Incompleteness in Knowledge Graphs
This work addresses the challenge for knowledge graph data producers in managing incompleteness, though it is incremental as it builds on existing visualization and analysis methods.
The paper tackles the problem of identifying incomplete entities in knowledge graphs that can be repaired, presenting a visualization tool called The Missing Path that helps data producers analyze and fix coherent subsets of entities, with evaluation involving 9 Wikidata contributors who gained insights and found strategies for repair.
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.