The Missing Path: Analysing Incompleteness in Knowledge Graphs

TL;DR

This paper introduces 'The Missing Path', a visualization tool designed to help knowledge graph data producers identify and fix incomplete entities by exploring coherent subsets within the graph.

Contribution

It presents a novel visualisation approach that groups entities by incompleteness profiles and supports interactive analysis to improve knowledge graph completeness.

Findings

Participants gained insights into data incompleteness.

Participants identified strategies for fixing incomplete entities.

The tool was evaluated with Wikidata contributors.

Abstract

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.