The missing path: Analysing incompleteness in knowledge graphs

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 enti...

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Bibliographic Details
Published inInformation visualization Vol. 20; no. 1; pp. 66 - 82
Main Authors Destandau, Marie, Fekete, Jean-Daniel
Format Journal Article
LanguageEnglish
Published London, England SAGE Publications 01.01.2021
SAGE PUBLICATIONS, INC
Subjects
Graphs
Histograms
Knowledge representation
exploratory analysis
incompleteness
Wikidata
coordinated views
Knowledge graphs
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Summary: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 visualization 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 nine Wikidata contributors. Participants gain insights and find various strategies to identify coherent subsets to be fixed.
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ISSN:1473-8716
1473-8724
DOI:10.1177/1473871621991539